[{"additional":"","additionalPlain":"","categories":{"location":"Sunnyvale, CA","team":"Engineering","allLocations":["Sunnyvale, CA"]},"createdAt":1753396817708,"descriptionPlain":"About the Institute of Foundation Models\nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n \nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n \nKey Responsibilities \nThis intensive, short-term internship offers a unique opportunity for aspiring AI engineers to;\n• Collect, prepare and processing training and validation datasets.\n• Assist in designing and tweaking model architectures.\n• Implement testing frameworks to assess model performance.\n• Analyze model outputs for accuracy and bias.\n• Participate in the review and refinement of AI algorithms.\n• Document findings and procedures for team collaboration.\n \nAcademic Qualifications\nCurrently pursuing or recently completed a Master's, or Ph.D. in Computer Science, Data Science, Artificial Intelligence, Applied Mathematics, Statistics, or a related quantitative field.\n","description":"
About the Institute of Foundation Models
\n
We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.
\n
 
\n
As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.
\n
 
\n
Key Responsibilities
\n
This intensive, short-term internship offers a unique opportunity for aspiring AI engineers to;
\n
• Collect, prepare and processing training and validation datasets.
\n
• Assist in designing and tweaking model architectures.
\n
• Implement testing frameworks to assess model performance.
\n
• Analyze model outputs for accuracy and bias.
\n
• Participate in the review and refinement of AI algorithms.
\n
• Document findings and procedures for team collaboration.
\n
 
\n
Academic Qualifications
\n
Currently pursuing or recently completed a Master's, or Ph.D. in Computer Science, Data Science, Artificial Intelligence, Applied Mathematics, Statistics, or a related quantitative field.
","id":"5342e333-61b9-406d-bfea-61a687a94d1f","lists":[],"salaryRange":{"min":100000,"max":140000,"currency":"USD","interval":"per-year-salary"},"text":"AI Research Internship - LLM","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"
About the Institute of Foundation Models
\n
We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.
\n
 
\n
As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.
\n
 
\n
Key Responsibilities
\n
This intensive, short-term internship offers a unique opportunity for aspiring AI engineers to;
\n
• Collect, prepare and processing training and validation datasets.
\n
• Assist in designing and tweaking model architectures.
\n
• Implement testing frameworks to assess model performance.
\n
• Analyze model outputs for accuracy and bias.
\n
• Participate in the review and refinement of AI algorithms.
\n
• Document findings and procedures for team collaboration.
\n
 
\n
Academic Qualifications
\n
Currently pursuing or recently completed a Master's, or Ph.D. in Computer Science, Data Science, Artificial Intelligence, Applied Mathematics, Statistics, or a related quantitative field.
","descriptionBodyPlain":"About the Institute of Foundation Models\nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n \nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n \nKey Responsibilities \nThis intensive, short-term internship offers a unique opportunity for aspiring AI engineers to;\n• Collect, prepare and processing training and validation datasets.\n• Assist in designing and tweaking model architectures.\n• Implement testing frameworks to assess model performance.\n• Analyze model outputs for accuracy and bias.\n• Participate in the review and refinement of AI algorithms.\n• Document findings and procedures for team collaboration.\n \nAcademic Qualifications\nCurrently pursuing or recently completed a Master's, or Ph.D. in Computer Science, Data Science, Artificial Intelligence, Applied Mathematics, Statistics, or a related quantitative field.\n","hostedUrl":"https://jobs.lever.co/ifm-us/5342e333-61b9-406d-bfea-61a687a94d1f","applyUrl":"https://jobs.lever.co/ifm-us/5342e333-61b9-406d-bfea-61a687a94d1f/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Intern | Summer","location":"Sunnyvale, CA","team":"Engineering","allLocations":["Sunnyvale, CA"]},"createdAt":1781288673741,"descriptionPlain":"About the Institute of Foundation Models\nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n \nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n \nKey Responsibilities \nThis intensive, short-term internship offers a unique opportunity for aspiring AI engineers to;\n• Collect, prepare and processing training and validation datasets.\n• Assist in designing and tweaking model architectures.\n• Implement testing frameworks to assess model performance.\n• Analyze model outputs for accuracy and bias.\n• Participate in the review and refinement of AI algorithms.\n• Document findings and procedures for team collaboration.\n \nAcademic Qualifications\nCurrently pursuing or recently completed a Master's, or Ph.D. in Computer Science, Data Science, Artificial Intelligence, Applied Mathematics, Statistics, or a related quantitative field.\n","description":"
About the Institute of Foundation Models
\n
We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.
\n
 
\n
As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.
\n
 
\n
Key Responsibilities
\n
This intensive, short-term internship offers a unique opportunity for aspiring AI engineers to;
\n
• Collect, prepare and processing training and validation datasets.
\n
• Assist in designing and tweaking model architectures.
\n
• Implement testing frameworks to assess model performance.
\n
• Analyze model outputs for accuracy and bias.
\n
• Participate in the review and refinement of AI algorithms.
\n
• Document findings and procedures for team collaboration.
\n
 
\n
Academic Qualifications
\n
Currently pursuing or recently completed a Master's, or Ph.D. in Computer Science, Data Science, Artificial Intelligence, Applied Mathematics, Statistics, or a related quantitative field.
","id":"3eec355c-6dde-4a3e-8cdf-b2a8930d5678","lists":[],"salaryRange":{"min":100000,"max":140000,"currency":"USD","interval":"per-year-salary"},"text":"AI Research Internship - WM","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"
About the Institute of Foundation Models
\n
We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.
\n
 
\n
As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.
\n
 
\n
Key Responsibilities
\n
This intensive, short-term internship offers a unique opportunity for aspiring AI engineers to;
\n
• Collect, prepare and processing training and validation datasets.
\n
• Assist in designing and tweaking model architectures.
\n
• Implement testing frameworks to assess model performance.
\n
• Analyze model outputs for accuracy and bias.
\n
• Participate in the review and refinement of AI algorithms.
\n
• Document findings and procedures for team collaboration.
\n
 
\n
Academic Qualifications
\n
Currently pursuing or recently completed a Master's, or Ph.D. in Computer Science, Data Science, Artificial Intelligence, Applied Mathematics, Statistics, or a related quantitative field.
","descriptionBodyPlain":"About the Institute of Foundation Models\nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n \nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n \nKey Responsibilities \nThis intensive, short-term internship offers a unique opportunity for aspiring AI engineers to;\n• Collect, prepare and processing training and validation datasets.\n• Assist in designing and tweaking model architectures.\n• Implement testing frameworks to assess model performance.\n• Analyze model outputs for accuracy and bias.\n• Participate in the review and refinement of AI algorithms.\n• Document findings and procedures for team collaboration.\n \nAcademic Qualifications\nCurrently pursuing or recently completed a Master's, or Ph.D. in Computer Science, Data Science, Artificial Intelligence, Applied Mathematics, Statistics, or a related quantitative field.\n","hostedUrl":"https://jobs.lever.co/ifm-us/3eec355c-6dde-4a3e-8cdf-b2a8930d5678","applyUrl":"https://jobs.lever.co/ifm-us/3eec355c-6dde-4a3e-8cdf-b2a8930d5678/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full-time","location":"Abu Dhabi","team":"Product","allLocations":["Abu Dhabi"]},"createdAt":1762341044981,"descriptionPlain":"About the Institute of Foundation Models (IFM)\n\nThe Institute of Foundation Models is a dedicated research lab for building, understanding, deploying, and risk-managing large-scale AI systems. We drive innovation in foundation models and their operationalization, empowering research, education, and industry adoption through scalable infrastructure and real-world applications.\n\nThe Role\n\nWe are seeking a Community Development Manager to expand the reach and real-world adoption of our foundation models (language, vision, multimodal, and world models) beyond the university environment.\n\nThis role bridges the gap between research innovation and practical use, ensuring our models are accessible, well-documented, and actively adopted by external developers, partners, and organizations. The ideal candidate combines technical comfort with strong communication and community-building skills to:\n●     promote the use of IFM technology,\n●     foster a vibrant developer and user ecosystem, and\n●     support adoption strategies.\n","description":"
About the Institute of Foundation Models (IFM)

The Institute of Foundation Models is a dedicated research lab for building, understanding, deploying, and risk-managing large-scale AI systems. We drive innovation in foundation models and their operationalization, empowering research, education, and industry adoption through scalable infrastructure and real-world applications.

The Role

We are seeking a Community Development Manager to expand the reach and real-world adoption of our foundation models (language, vision, multimodal, and world models) beyond the university environment.

This role bridges the gap between research innovation and practical use, ensuring our models are accessible, well-documented, and actively adopted by external developers, partners, and organizations. The ideal candidate combines technical comfort with strong communication and community-building skills to:
●     promote the use of IFM technology,
●     foster a vibrant developer and user ecosystem, and
●     support adoption strategies.
","id":"30a58353-c2b6-4881-b2ec-6b7a914b26f6","lists":[{"text":"Key Responsibilities","content":"
  • Community Development & Engagement
  • Build and nurture a developer and user community around IFM's models, APIs, and tools.
  • Plan and run workshops, hackathons, webinars, and training sessions to showcase model capabilities and encourage experimentation and adoption.
  • Develop partnerships with industry, government, and academic collaborators to promote technology transfer and open innovation around IFM models.
  • Represent IFM at external events, conferences, and meetups, championing its models, tools, and initiatives.
  • Define and track key community metrics (e.g., active developers, event participation, usage coming from community channels) to understand impact and refine activities.

  • Technology Adoption & Support
  • Work closely with the Product, Research, and Engineering teams to understand model capabilities, deployment options, and priority use cases.
  • Translate complex research outputs into practical applications, example integrations, documentation, and user guides.
  • Provide technical onboarding and ongoing support to external developers and partners integrating IFM models and APIs.
  • Gather structured feedback from users and partners, and channel it into product and research roadmaps (e.g., feature requests, pain points, documentation gaps).
  • Coordinate with DevOps and MLOps teams to ensure external users have reliable access to IFM models (APIs, SDKs, sandbox environments) and know how to use them.

  • Content & Knowledge Sharing
  • Develop and maintain public-facing resources such as documentation, tutorials, FAQs, example repos, and quick-start guides.
  • Create and support content such as blog posts, talks, short videos, and demo showcases that explain “what this model can do” and “how to use it” for different audiences.
  • Support the creation of case studies and success stories that highlight impactful applications built on IFM models.
  • Contribute to communication materials for product updates, new releases, and adoption milestones, in coordination with Product and Communications teams.
    • "},{"text":"Qualifications & Experience","content":"
  • Essential
  • Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field.
  • 3–6 years of experience in developer relations, technical community building, technology adoption, or adjacent roles (e.g., product, solutions, startup founder/operator with strong external-facing responsibilities).
  • Comfortable writing small scripts and demo applications in Python or JavaScript to call APIs, build simple prototypes, and help developers integrate IFM models into their own applications.
  • Familiarity with how modern ML models are used in practice (e.g., calling hosted models via APIs, using SDKs, or working with ecosystems such as Hugging Face).
  • Experience working with GitHub or similar platforms (issues, pull requests, basic branching) and contributing to documentation and example repositories.
  • Strong written and verbal communication skills, with the ability to translate complex technical concepts into clear, accessible language for both technical and non-technical audiences.
  • Demonstrated ability to plan, execute, and iterate on community or developer-facing programs (events, workshops, hackathons, pilots) in a fast-moving environment.
  • Proven stakeholder management skills, working across multiple internal teams (research, product, engineering, communications) and external partners

  • Preferred
  • Experience working with common ML frameworks (e.g., PyTorch, TensorFlow, JAX) or model deployment tools (e.g., Docker, Kubernetes, major cloud platforms).
  • Prior experience with foundation models (LLMs, multimodal models, or world models) and familiarity with AI/ML research environments.
  • Background in AI/ML, computer science, or a related technical field (formal degree or equivalent practical experience).
  • Experience in an academic, research lab, or “frontier-tech” environment where research-to-product translation is part of the work.
    • "}],"text":"Community Development Manager","country":"AE","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"
    About the Institute of Foundation Models (IFM)

    The Institute of Foundation Models is a dedicated research lab for building, understanding, deploying, and risk-managing large-scale AI systems. We drive innovation in foundation models and their operationalization, empowering research, education, and industry adoption through scalable infrastructure and real-world applications.

    The Role

    We are seeking a Community Development Manager to expand the reach and real-world adoption of our foundation models (language, vision, multimodal, and world models) beyond the university environment.

    This role bridges the gap between research innovation and practical use, ensuring our models are accessible, well-documented, and actively adopted by external developers, partners, and organizations. The ideal candidate combines technical comfort with strong communication and community-building skills to:
    ●     promote the use of IFM technology,
    ●     foster a vibrant developer and user ecosystem, and
    ●     support adoption strategies.
    ","descriptionBodyPlain":"About the Institute of Foundation Models (IFM)\n\nThe Institute of Foundation Models is a dedicated research lab for building, understanding, deploying, and risk-managing large-scale AI systems. We drive innovation in foundation models and their operationalization, empowering research, education, and industry adoption through scalable infrastructure and real-world applications.\n\nThe Role\n\nWe are seeking a Community Development Manager to expand the reach and real-world adoption of our foundation models (language, vision, multimodal, and world models) beyond the university environment.\n\nThis role bridges the gap between research innovation and practical use, ensuring our models are accessible, well-documented, and actively adopted by external developers, partners, and organizations. The ideal candidate combines technical comfort with strong communication and community-building skills to:\n●     promote the use of IFM technology,\n●     foster a vibrant developer and user ecosystem, and\n●     support adoption strategies.\n","hostedUrl":"https://jobs.lever.co/ifm-us/30a58353-c2b6-4881-b2ec-6b7a914b26f6","applyUrl":"https://jobs.lever.co/ifm-us/30a58353-c2b6-4881-b2ec-6b7a914b26f6/apply"},{"additionalPlain":"Benefits Include\n*Comprehensive medical, dental, and vision benefits \n *Bonus\n*401K Plan\n*Generous paid time off, sick leave and holidays\n*Paid Parental Leave\n*Employee Assistance Program\n*Life insurance and disability\n","additional":"
    Benefits Include
    \n
    *Comprehensive medical, dental, and vision benefits 
    \n
     *Bonus
    \n
    *401K Plan
    \n
    *Generous paid time off, sick leave and holidays
    \n
    *Paid Parental Leave
    \n
    *Employee Assistance Program
    \n
    *Life insurance and disability
    ","categories":{"commitment":"Full-time","location":"Sunnyvale, CA","team":"Product","allLocations":["Sunnyvale, CA"]},"createdAt":1744140200257,"descriptionPlain":"About the Institute of Foundation Models\nThe Institute of Foundation Models is a dedicated research lab for building, understanding, deploying, and risk-managing large-scale AI systems. We drive innovation in foundation models and their operationalization, empowering research, education, and industry adoption through scalable infrastructure and real-world applications.\n \nThe Role\nWe are seeking a Community Development Manager to expand the reach and real-world adoption of our foundation models (language, vision, multimodal, and world models) beyond the university environment.This role bridges the gap between research innovation and practical use, ensuring our models are accessible, well-documented, and actively adopted by external developers, partners, and organizations. The ideal candidate combines technical comfort with strong communication and community-building skills to:\n●     promote the use of IFM technology,\n●     foster a vibrant developer and user ecosystem, and\n●     support adoption strategies.\n","description":"
    About the Institute of Foundation Models
    \n
    The Institute of Foundation Models is a dedicated research lab for building, understanding, deploying, and risk-managing large-scale AI systems. We drive innovation in foundation models and their operationalization, empowering research, education, and industry adoption through scalable infrastructure and real-world applications.
    \n
     
    \n
    The Role
    \n
    We are seeking a Community Development Manager to expand the reach and real-world adoption of our foundation models (language, vision, multimodal, and world models) beyond the university environment.This role bridges the gap between research innovation and practical use, ensuring our models are accessible, well-documented, and actively adopted by external developers, partners, and organizations. The ideal candidate combines technical comfort with strong communication and community-building skills to:
    \n
    ●     promote the use of IFM technology,
    \n
    ●     foster a vibrant developer and user ecosystem, and
    \n
    ●     support adoption strategies.
    ","id":"950949f0-038a-409a-974d-a273e827775f","lists":[{"text":"Key Responsibilities","content":"\n
  • Community Development & Engagement
    • \n
  • Build and nurture a developer and user community around IFM's models, APIs, and tools.
    • \n
  • Plan and run workshops, hackathons, webinars, and training sessions to showcase model capabilities and encourage experimentation and adoption.
    • \n
  • Develop partnerships with industry, government, and academic collaborators to promote technology transfer and open innovation around IFM models.
    • \n
  • Represent IFM at external events, conferences, and meetups, championing its models, tools, and initiatives.
    • \n
  • Define and track key community metrics (e.g., active developers, event participation, usage coming from community channels) to understand impact and refine activities.
    • \n
  • Technology Adoption & Support
    • \n
  • Work closely with the Product, Research, and Engineering teams to understand model capabilities, deployment options, and priority use cases.
    • \n
  • Translate complex research outputs into practical applications, example integrations, documentation, and user guides.
    • \n
  • Provide technical onboarding and ongoing support to external developers and partners integrating IFM models and APIs.
    • \n
  • Gather structured feedback from users and partners, and channel it into product and research roadmaps (e.g., feature requests, pain points, documentation gaps).
    • \n
  • Coordinate with DevOps and MLOps teams to ensure external users have reliable access to IFM models (APIs, SDKs, sandbox environments) and know how to use them.
    • \n
  • Content & Knowledge Sharing
    • \n
  • Develop and maintain public-facing resources such as documentation, tutorials, FAQs, example repos, and quick-start guides.
    • \n
  • Create and support content such as blog posts, talks, short videos, and demo showcases that explain \"what this model can do\" and \"how to use it\" for different audiences.
    • \n
  • Support the creation of case studies and success stories that highlight impactful applications built on IFM models.
    • \n
  • Contribute to communication materials for product updates, new releases, and adoption milestones, in coordination with Product and Communications teams.
    • \n"},{"text":"Academic Qualifications","content":"\n
  • Essential
    • \n
  • Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
    • \n
  • 3–6 years of experience in developer relations, technical community building, technology adoption, or adjacent roles (e.g., product, solutions, startup founder/operator with strong external-facing responsibilities).
    • \n
  • Comfortable writing small scripts and demo applications in Python or JavaScript to call APIs, build simple prototypes, and help developers integrate IFM models into their own applications.
    • \n
  • Familiarity with how modern ML models are used in practice (e.g., calling hosted models via APIs, using SDKs, or working with ecosystems such as Hugging Face).
    • \n
  • Experience working with GitHub or similar platforms (issues, pull requests, basic branching) and contributing to documentation and example repositories.
    • \n
  • Strong written and verbal communication skills, with the ability to translate complex technical concepts into clear, accessible language for both technical and non-technical audiences.
    • \n
  • Demonstrated ability to plan, execute, and iterate on community or developer-facing programs (events, workshops, hackathons, pilots) in a fast-moving environment.
    • \n
  • Proven stakeholder management skills, working across multiple internal teams (research, product, engineering, communications) and external partners
    • \n
  • Preferred 
    • \n
  • Experience working with common ML frameworks (e.g., PyTorch, TensorFlow, JAX) or model deployment tools (e.g., Docker, Kubernetes, major cloud platforms).
    • \n
  • Prior experience with foundation models (LLMs, multimodal models, or world models) and familiarity with AI/ML research environments.
    • \n
  • Background in AI/ML, computer science, or a related technical field (formal degree or equivalent practical experience).
    • \n
  • Experience in an academic, research lab, or \"frontier-tech\" environment where research-to-product translation is part of the work.
    • \n"}],"salaryRange":{"min":150000,"max":350000,"currency":"USD","interval":"per-year-salary"},"text":"Community Development Manager","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"
    About the Institute of Foundation Models
    \n
    The Institute of Foundation Models is a dedicated research lab for building, understanding, deploying, and risk-managing large-scale AI systems. We drive innovation in foundation models and their operationalization, empowering research, education, and industry adoption through scalable infrastructure and real-world applications.
    \n
     
    \n
    The Role
    \n
    We are seeking a Community Development Manager to expand the reach and real-world adoption of our foundation models (language, vision, multimodal, and world models) beyond the university environment.This role bridges the gap between research innovation and practical use, ensuring our models are accessible, well-documented, and actively adopted by external developers, partners, and organizations. The ideal candidate combines technical comfort with strong communication and community-building skills to:
    \n
    ●     promote the use of IFM technology,
    \n
    ●     foster a vibrant developer and user ecosystem, and
    \n
    ●     support adoption strategies.
    ","descriptionBodyPlain":"About the Institute of Foundation Models\nThe Institute of Foundation Models is a dedicated research lab for building, understanding, deploying, and risk-managing large-scale AI systems. We drive innovation in foundation models and their operationalization, empowering research, education, and industry adoption through scalable infrastructure and real-world applications.\n \nThe Role\nWe are seeking a Community Development Manager to expand the reach and real-world adoption of our foundation models (language, vision, multimodal, and world models) beyond the university environment.This role bridges the gap between research innovation and practical use, ensuring our models are accessible, well-documented, and actively adopted by external developers, partners, and organizations. The ideal candidate combines technical comfort with strong communication and community-building skills to:\n●     promote the use of IFM technology,\n●     foster a vibrant developer and user ecosystem, and\n●     support adoption strategies.\n","hostedUrl":"https://jobs.lever.co/ifm-us/950949f0-038a-409a-974d-a273e827775f","applyUrl":"https://jobs.lever.co/ifm-us/950949f0-038a-409a-974d-a273e827775f/apply"},{"additionalPlain":"Visa Sponsorship\nThis position is eligible for visa sponsorship.\n\nBenefits Include\n*Comprehensive medical, dental, and vision benefits \n *Bonus\n*401K Plan\n*Generous paid time off, sick leave and holidays\n*Paid Parental Leave\n*Employee Assistance Program\n*Life insurance and disability\n\n\n","additional":"
    Visa Sponsorship
    This position is eligible for visa sponsorship.

    Benefits Include
    *Comprehensive medical, dental, and vision benefits 
     *Bonus
    *401K Plan
    *Generous paid time off, sick leave and holidays
    *Paid Parental Leave
    *Employee Assistance Program
    *Life insurance and disability


    ","categories":{"commitment":"Full-time","location":"Sunnyvale, CA","team":"Engineering","allLocations":["Sunnyvale, CA"]},"createdAt":1744222206141,"descriptionPlain":"About the Institute of Foundation Models\nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n\nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n\n\n\n\nThe Role\n \nAs a Data Engineer specializing in Natural Language Processing (NLP) and large-scale data processing, you will quickly and effectively gather, curate, and prepare high-quality datasets to support cutting-edge NLP research. Your role will be instrumental in enabling researchers by delivering essential data through efficient and scalable engineering practices, including web crawling, LLM-generated content refinement, and robust data pipelines, primarily leveraging Python and related technologies.\n","description":"
    About the Institute of Foundation Models
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.



    The Role
    \n
     
    \n
    As a Data Engineer specializing in Natural Language Processing (NLP) and large-scale data processing, you will quickly and effectively gather, curate, and prepare high-quality datasets to support cutting-edge NLP research. Your role will be instrumental in enabling researchers by delivering essential data through efficient and scalable engineering practices, including web crawling, LLM-generated content refinement, and robust data pipelines, primarily leveraging Python and related technologies.
    ","id":"09018f47-2206-46bf-8b9c-07b24d4b5fa8","lists":[{"text":"Key Responsibilities","content":"\n
  • Rapidly collect, curate, and preprocess datasets based on detailed specifications provided by NLPresearchers,delivering data within tight timelines.
    • \n
  • Develop and maintain efficient web crawling solutions, APIs, and automated workflows to continuously improve data collection processes.
    • \n
  • Refine and evaluate outputs from Large Language Models (LLMs) to generate structured datasets suitable for model training and benchmarking.
    • \n
  • Implement scalable data pipelines, ensuring efficient data processing, storage, retrieval, and distribution to research teams.
    • \n
  • Collaborate closely with researchers and engineers to ensure collected data meets specified quality and relevance criteria.
    • \n
  • Document data collection methodologies, dataset characteristics, and pipeline architecture clearly and effectively.
    • \n
  • Engage with peer teams and participate in technical reviews to uphold best practices and data quality standards.
    • \n
  • Represent MBZUAI at industry and research forums, showcasing technical capabilities in large-scale data processing and AI data infrastructure.
    • \n"},{"text":"Academic Qualifications","content":"\n
  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field required
    • \n
  • Master’s degree or PhD degree or equivalent experience in Computer Science, Data Engineering, or related technical fields preferred.
    • \n"},{"text":"Professional Experience - Required ","content":"\n
  • Extensive experience in data engineering, data processing, and automation using Python.
    • \n
  • Demonstrated proficiency in designing and deploying web crawling solutions, automated data extraction, and processing pipelines.
    • \n
  • Strong understanding of data structures, algorithms, databases, SQL, and performance optimization.
    • \n
  • Experience working with cloud infrastructure and distributed data processing frameworks (e.g., AWS, Spark, Kafka, Kubernetes).
    • \n
  • Excellent problem-solving abilities, attention to detail, and the capability to rapidly address technical challenges.
    • \n
  • Strong communication and collaboration skills with cross-functional teams.
    • \n"},{"text":"Professional Experience - Preferred ","content":"\n
  • Proven track record of supporting NLP or AI research teams with rapid and reliable data delivery.
    • \n
  • Experience working with large language models, including evaluation, efficient inference, and prompt engineering.
    • \n
  • Experience with refining outputs from large-scale AI models, such as LLM-generated data.
    • \n
  • Contributions to open-source projects, coding competitions, or high visibility in coding communities (e.g., GitHub, Stack Overflow).
    • \n
  • Familiarity with the latest advancements in NLP data processing and large language model technologies.
    • \n"}],"salaryRange":{"min":150000,"max":450000,"currency":"USD","interval":"per-year-salary"},"text":"Data Engineer","country":"US","workplaceType":"onsite","opening":"
    About the Institute of Foundation Models
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.


    ","openingPlain":"About the Institute of Foundation Models\nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n\nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n\n\n","descriptionBody":"
    The Role
    \n
     
    \n
    As a Data Engineer specializing in Natural Language Processing (NLP) and large-scale data processing, you will quickly and effectively gather, curate, and prepare high-quality datasets to support cutting-edge NLP research. Your role will be instrumental in enabling researchers by delivering essential data through efficient and scalable engineering practices, including web crawling, LLM-generated content refinement, and robust data pipelines, primarily leveraging Python and related technologies.
    ","descriptionBodyPlain":"The Role\n \nAs a Data Engineer specializing in Natural Language Processing (NLP) and large-scale data processing, you will quickly and effectively gather, curate, and prepare high-quality datasets to support cutting-edge NLP research. Your role will be instrumental in enabling researchers by delivering essential data through efficient and scalable engineering practices, including web crawling, LLM-generated content refinement, and robust data pipelines, primarily leveraging Python and related technologies.\n","hostedUrl":"https://jobs.lever.co/ifm-us/09018f47-2206-46bf-8b9c-07b24d4b5fa8","applyUrl":"https://jobs.lever.co/ifm-us/09018f47-2206-46bf-8b9c-07b24d4b5fa8/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full-time","location":"Abu Dhabi","team":"Engineering","allLocations":["Abu Dhabi"]},"createdAt":1750173883502,"descriptionPlain":"About the Institute of Foundation Models\n \nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n \nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n\nThe Role\n \nAs a Data Engineer specializing in Natural Language Processing (NLP) and large-scale data processing, you will quickly and effectively gather, curate, and prepare high-quality datasets to support cutting-edge NLP research. Your role will be instrumental in enabling researchers by delivering essential data through efficient and scalable engineering practices, including web crawling, LLM-generated content refinement, and robust data pipelines, primarily leveraging Python and related technologies.\n","description":"
    About the Institute of Foundation Models
     
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.
     
    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.

    The Role
     
    As a Data Engineer specializing in Natural Language Processing (NLP) and large-scale data processing, you will quickly and effectively gather, curate, and prepare high-quality datasets to support cutting-edge NLP research. Your role will be instrumental in enabling researchers by delivering essential data through efficient and scalable engineering practices, including web crawling, LLM-generated content refinement, and robust data pipelines, primarily leveraging Python and related technologies.
    ","id":"b6c7bc76-7a13-4a2c-84ce-d01c61d08d80","lists":[{"text":"Key Responsibilities","content":"
  • Rapidly collect, curate, and preprocess datasets based on detailed specifications provided by NLP researchers, delivering data within tight timelines (typically within 1-2 days).
  • Develop and maintain efficient web crawling solutions, APIs, and automated workflows to continuously improve data collection processes.
  • Refine and evaluate outputs from Large Language Models (LLMs) to generate structured datasets suitable for model training and benchmarking.
  • Implement scalable data pipelines, ensuring efficient data processing, storage, retrieval, and distribution to research teams.
  • Collaborate closely with researchers and engineers to ensure collected data meets specified quality and relevance criteria.
  • Document data collection methodologies, dataset characteristics, and pipeline architecture clearly and effectively.
  • Engage with peer teams and participate in technical reviews to uphold best practices and data quality standards.
  • Represent MBZUAI at industry and research forums, showcasing technical capabilities in large-scale data processing and AI data infrastructure.
  • Perform all other duties as reasonably directed by the line manager commensurate with these functional objectives.
    • "},{"text":"Academic Qualifications","content":"
  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field required
  • Master’s degree or equivalent experience in Computer Science, Data Engineering, or related technical fields preferred.
    • "},{"text":"Professional Experience - Required","content":"
  • Extensive experience in data engineering, data processing, and automation using Python.
  • Demonstrated proficiency in designing and deploying web crawling solutions, automated data extraction, and processing pipelines.
  • Strong understanding of data structures, algorithms, databases, SQL, and performance optimization.
  • Experience working with cloud infrastructure and distributed data processing frameworks (e.g., AWS, Spark, Kafka, Kubernetes).
  • Excellent problem-solving abilities, attention to detail, and the capability to rapidly address technical challenges.
  • Strong communication and collaboration skills with cross-functional teams.
    • "},{"text":"Professional Experience - Preferred","content":"
  • Proven track record of supporting NLP or AI research teams with rapid and reliable data delivery.
  • Experience with refining outputs from large-scale AI models, such as LLM-generated data.
  • Contributions to open-source projects, coding competitions, or high visibility in coding communities (e.g., GitHub, Stack Overflow).
  • Familiarity with the latest advancements in NLP data processing and large language model technologies.
    • "}],"text":"Data Engineer","country":"AE","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"
    About the Institute of Foundation Models
     
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.
     
    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.

    The Role
     
    As a Data Engineer specializing in Natural Language Processing (NLP) and large-scale data processing, you will quickly and effectively gather, curate, and prepare high-quality datasets to support cutting-edge NLP research. Your role will be instrumental in enabling researchers by delivering essential data through efficient and scalable engineering practices, including web crawling, LLM-generated content refinement, and robust data pipelines, primarily leveraging Python and related technologies.
    ","descriptionBodyPlain":"About the Institute of Foundation Models\n \nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n \nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n\nThe Role\n \nAs a Data Engineer specializing in Natural Language Processing (NLP) and large-scale data processing, you will quickly and effectively gather, curate, and prepare high-quality datasets to support cutting-edge NLP research. Your role will be instrumental in enabling researchers by delivering essential data through efficient and scalable engineering practices, including web crawling, LLM-generated content refinement, and robust data pipelines, primarily leveraging Python and related technologies.\n","hostedUrl":"https://jobs.lever.co/ifm-us/b6c7bc76-7a13-4a2c-84ce-d01c61d08d80","applyUrl":"https://jobs.lever.co/ifm-us/b6c7bc76-7a13-4a2c-84ce-d01c61d08d80/apply"},{"additionalPlain":"Visa Sponsorship\nThis position is eligible for visa sponsorship.\n\nBenefits Include\n*Comprehensive medical, dental, and vision benefits \n *Bonus\n*401K Plan\n*Generous paid time off, sick leave and holidays\n*Paid Parental Leave\n*Employee Assistance Program\n*Life insurance and disability\n\n\n","additional":"
    Visa Sponsorship
    This position is eligible for visa sponsorship.

    Benefits Include
    *Comprehensive medical, dental, and vision benefits 
     *Bonus
    *401K Plan
    *Generous paid time off, sick leave and holidays
    *Paid Parental Leave
    *Employee Assistance Program
    *Life insurance and disability


    ","categories":{"commitment":"Full-time","location":"Sunnyvale, CA","team":"Engineering","allLocations":["Sunnyvale, CA"]},"createdAt":1742241759731,"descriptionPlain":"About the Institute of Foundation Models\nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n\nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n\n\n\n\nThe Role\nThe Distributed ML Engineer will play a role at the forefront of optimizing performance for the machine learning software stacks, especially at training and inference, and support the team to develop new and cutting-edge systems. The ideal candidate will have a strong background in parallel computing, and hands-on experience in system level coding, debug methodologies, and large-scale machine learning experience.\n","description":"
    About the Institute of Foundation Models
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.



    The Role
    \n
    The Distributed ML Engineer will play a role at the forefront of optimizing performance for the machine learning software stacks, especially at training and inference, and support the team to develop new and cutting-edge systems. The ideal candidate will have a strong background in parallel computing, and hands-on experience in system level coding, debug methodologies, and large-scale machine learning experience.
    ","id":"965f914c-5be2-4670-b006-946d2274dc66","lists":[{"text":"Key Responsibilities","content":"\n
  • Understand, analyze, profile, optimize, and provide guidance to the team on deep learning workloads on state-of-the-art hardware and software platforms to improve their efficiency with different levels of optimization
    • \n
  • Design and implement performance benchmarks and testing methodologies to evaluate application performance
    • \n
  • Build tools to automate workload analysis, workload optimization, and other critical workflows
    • \n
  • Triage system issues and identify bottleneck and inefficiencies by analyzing the sources of issues and the impact on hardware, network and propose solutions to enhance GPU utilization
    • \n
  • Support the team to develop appropriate kernels and systems for new model architectures and algorithms
    • \n
  • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
    • \n
  • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
    • \n
  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
    • \n
  • Represent MBZUAI at industry conferences and events, showcasing the institution’s cutting-edge HPC and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation.
    • \n
  • Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives.
    • \n"},{"text":"Academic Qualifications","content":"\n
  • Ph.D. in CS, EE or CSEE with 1+ years working experience, OR
    • \n
  • Masters in CS, EE or CSEE or equivalent experience with 2+ year working experience
    • \n"}],"salaryRange":{"min":150000,"max":450000,"currency":"USD","interval":"per-year-salary"},"text":"Distributed Machine Learning Engineer","country":"US","workplaceType":"onsite","opening":"
    About the Institute of Foundation Models
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.


    ","openingPlain":"About the Institute of Foundation Models\nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n\nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n\n\n","descriptionBody":"
    The Role
    \n
    The Distributed ML Engineer will play a role at the forefront of optimizing performance for the machine learning software stacks, especially at training and inference, and support the team to develop new and cutting-edge systems. The ideal candidate will have a strong background in parallel computing, and hands-on experience in system level coding, debug methodologies, and large-scale machine learning experience.
    ","descriptionBodyPlain":"The Role\nThe Distributed ML Engineer will play a role at the forefront of optimizing performance for the machine learning software stacks, especially at training and inference, and support the team to develop new and cutting-edge systems. The ideal candidate will have a strong background in parallel computing, and hands-on experience in system level coding, debug methodologies, and large-scale machine learning experience.\n","hostedUrl":"https://jobs.lever.co/ifm-us/965f914c-5be2-4670-b006-946d2274dc66","applyUrl":"https://jobs.lever.co/ifm-us/965f914c-5be2-4670-b006-946d2274dc66/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full-time","location":"Paris","team":"Operations","allLocations":["Paris"]},"createdAt":1761253858574,"descriptionPlain":"MBZUAI’s Institute of Foundation Models (IFM) has locations in Abu Dhabi, Paris, and Sunnyvale dedicated to pushing the boundaries of artificial intelligence. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. Within this context, the Finance & Administrative Coordinator supports the Paris lab by overseeing day‑to‑day financial and administrative activities and ensuring they align with IFM’s strategic goals. By providing reliable financial oversight, clear administrative procedures, and effective coordination between labs, the coordinator enables researchers and staff to focus on scientific objectives while maintaining compliance and budgetary discipline.\n","description":"
    MBZUAI’s Institute of Foundation Models (IFM) has locations in Abu Dhabi, Paris, and Sunnyvale dedicated to pushing the boundaries of artificial intelligence. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. Within this context, the Finance & Administrative Coordinator supports the Paris lab by overseeing day‑to‑day financial and administrative activities and ensuring they align with IFM’s strategic goals. By providing reliable financial oversight, clear administrative procedures, and effective coordination between labs, the coordinator enables researchers and staff to focus on scientific objectives while maintaining compliance and budgetary discipline.
    ","id":"439c3b8b-4310-45d8-b235-3fa917a67455","lists":[{"text":"Key Responsibilities","content":"
  • Finance & Payroll
  • Ensure timely payroll processing by collecting, validating, and submitting payroll data to the external payroll provider.
  • Monitor budgets, process expense reports and reimbursements, and assist in the preparation of monthly financial reports and forecasts.
  • Procurement & Vendor Relations
  • Source supplies, equipment, and services for the lab; assist with vendor registration, obtain quotations, and prepare purchase requests in accordance with MBZUAI policies.
  • Track orders from placement to delivery and maintain inventory of supplies and equipment.
  • IT Coordination
  • Coordinate with the central IT team to ensure hardware and software requirements are met and maintained.
  • Oversee the procurement, installation and maintenance of IT equipment, and maintain a current inventory of assets.
  • Compliance & Reporting
  • Ensure that finance, procurement and IT processes comply with MBZUAI policies and French regulations.
  • Prepare and maintain documentation required for audits and regulatory filings.
  • Administrative Support
  • Maintain administrative records and coordinate travel arrangements for researchers and staff.
  • Support colleagues and the Office Manager in the planning and execution of events, contributing to efficient day‑to‑day operations.
    • "},{"text":"Qualifications & Experience","content":"
  • Education: Bachelor’s degree in Finance, Accounting, Business Administration or a related discipline.
  • Experience: Minimum of three years’ experience in office management; experience in a tech start-up or AI-focused environment is a plus.
  • Skills: Familiarity with French labour regulations; proficiency with Microsoft Office and financial software; strong organisational, communication and problem‑solving skills.
  • Language: Fully bilingual in French and English, with excellent written and verbal communication skills.
  • Attributes: Demonstrated ability to work independently and collaboratively, manage multiple priorities and maintain accuracy and confidentiality.
    • "}],"text":"Finance & Administrative Coordinator","country":"FR","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"
    MBZUAI’s Institute of Foundation Models (IFM) has locations in Abu Dhabi, Paris, and Sunnyvale dedicated to pushing the boundaries of artificial intelligence. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. Within this context, the Finance & Administrative Coordinator supports the Paris lab by overseeing day‑to‑day financial and administrative activities and ensuring they align with IFM’s strategic goals. By providing reliable financial oversight, clear administrative procedures, and effective coordination between labs, the coordinator enables researchers and staff to focus on scientific objectives while maintaining compliance and budgetary discipline.
    ","descriptionBodyPlain":"MBZUAI’s Institute of Foundation Models (IFM) has locations in Abu Dhabi, Paris, and Sunnyvale dedicated to pushing the boundaries of artificial intelligence. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. Within this context, the Finance & Administrative Coordinator supports the Paris lab by overseeing day‑to‑day financial and administrative activities and ensuring they align with IFM’s strategic goals. By providing reliable financial oversight, clear administrative procedures, and effective coordination between labs, the coordinator enables researchers and staff to focus on scientific objectives while maintaining compliance and budgetary discipline.\n","hostedUrl":"https://jobs.lever.co/ifm-us/439c3b8b-4310-45d8-b235-3fa917a67455","applyUrl":"https://jobs.lever.co/ifm-us/439c3b8b-4310-45d8-b235-3fa917a67455/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full-time","location":"Sunnyvale, CA","team":"Operations","allLocations":["Sunnyvale, CA"]},"createdAt":1779212815631,"descriptionPlain":"About the Institute of Foundation Models\nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\nWe are seeking a Finance & Admin Coordinator to support the IFM Sunnyvale team. The role will serve as a local coordination point for finance administration, vendor documentation, contract records, credit card and expense tracking, financial data requests, and general administrative support.\nThis is a coordination and documentation role. It does not include tax compliance, accounting close, payment execution, or independent finance decision-making.\n","description":"
    \n

    About the Institute of Foundation Models

    \n

    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

    \n

    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.

    \n
    \n

    We are seeking a Finance & Admin Coordinator to support the IFM Sunnyvale team. The role will serve as a local coordination point for finance administration, vendor documentation, contract records, credit card and expense tracking, financial data requests, and general administrative support.

    \n

    This is a coordination and documentation role. It does not include tax compliance, accounting close, payment execution, or independent finance decision-making.

    \n
    \n
    ","id":"52ce9fff-0872-4e94-9fec-374370f345d9","lists":[{"text":"Key Responsibilities","content":"
    \n

    Finance Administration

    \n\n
  • \n

    Act as the local focal point for finance-related administrative coordination at IFM Sunnyvale.

    \n
    • \n
  • \n

    Collect, review, organize, and track invoices, receipts, reimbursements, credit card bills, vendor records, and supporting documents.

    \n
    • \n
  • \n

    Ensure payment and expense documentation is complete before submission to HQ Finance or the relevant processing team.

    \n
    • \n
  • \n

    Coordinate with HQ Finance on data requests, approval follow-ups, payment status updates, and documentation requirements.

    \n
    • \n
  • \n

    Maintain accurate records and trackers for invoices, reimbursements, credit card bills, vendor payments, open commitments, and pending items.

    \n
    • \n\n

    Expense, Card & Reimbursement Support

    \n\n
  • \n

    Support the tracking of IFM management credit card bills, receipts, assigned users, limits, and pending documentation.

    \n
    • \n
  • \n

    Follow up on missing receipts, unclear charges, incomplete approvals, and outstanding expense documentation.

    \n
    • \n
  • \n

    Support travel and out-of-pocket reimbursement documentation for IFM personnel.

    \n
    • \n
  • \n

    Coordinate reimbursement information with HQ Finance, HR, or the approved processing channel.

    \n
    • \n\n

    Vendor, Contract & Procurement Coordination

    \n\n
  • \n

    Maintain an organized vendor master file, including W-9s, banking details, contact information, and required supporting documents.

    \n
    • \n
  • \n

    Support vendor onboarding and documentation follow-up with vendors and internal stakeholders.

    \n
    • \n
  • \n

    Maintain records of vendor contracts, agreements, renewals, and related financial commitments.

    \n
    • \n
  • \n

    Support purchase request follow-up, vendor communication, delivery coordination, and issue tracking where required.

    \n
    • \n\n

    Budget & Reporting Support

    \n\n
  • \n

    Maintain planned vs actual spend trackers, open commitment logs, and expected payment summaries.

    \n
    • \n
  • \n

    Support financial visibility by tracking upcoming bills, known obligations, and pending payment-related matters.

    \n
    • \n
  • \n

    Flag variances, delays, missing information, or unusual items for IFM management and HQ Finance review.

    \n
    • \n
  • \n

    Prepare simple financial summaries and tracker updates when requested.

    \n
    • \n\n

    Banking, Platform & Administrative Support

    \n\n
  • \n

    Support banking or finance platform setup by coordinating required documentation with HQ Finance, external providers, and internal stakeholders.

    \n
    • \n
  • \n

    Assist in collecting and organizing documents such as EIN, incorporation records, banking forms, and other required information where applicable.

    \n
    • \n
  • \n

    Maintain basic records for any approved petty cash or local payment support arrangements, where applicable.

    \n
    • \n
  • \n

    Provide general administrative support for the Sunnyvale office, including supplies, logistics, visitors, meetings, and local coordination.

    \n
    • \n
  • \n

    Help maintain clear filing structures, working procedures, and documentation standards as the operation matures.

    \n
    • \n\n
    \n

    Role Boundaries

    \n

    This role is not responsible for:

    \n\n
  • \n

    Tax filings or tax compliance.

    \n
    • \n
  • \n

    Bank payment execution or payment approval.

    \n
    • \n
  • \n

    Accounting close, reconciliations, or financial statements.

    \n
    • \n
  • \n

    Independent procurement, budget, or finance decisions.

    \n
    • \n
  • \n

    Acting as a controller, senior accountant, or finance manager.

    \n
    • \n\n

    The role is focused on coordination, documentation, tracking, follow-up, and liaison with HQ Finance and relevant central teams.

    \n
    \n
    "},{"text":"Academic Qualifications","content":"
    \n\n
  • \n

    Bachelor’s degree in accounting, finance, business administration, operations, or a related field.

    \n
    • \n
  • \n

    Equivalent hands-on experience in finance administration, bookkeeping support, office administration, or operational coordination may also be considered.

    \n
    • \n
  • \n

    Additional coursework or certifications in accounting, finance, business operations, or administration would be an advantage.

    \n
    • \n\n
    "},{"text":"Professional Experience","content":"
    \n\n
  • \n

    2 to 4 years of experience in finance administration, bookkeeping support, office administration, procurement support, vendor coordination, or operational support.

    \n
    • \n
  • \n

    Experience managing financial workflows and administrative support in a fast-paced business environment is preferred.

    \n
    • \n
  • \n

    Proven experience supporting invoice tracking, expense documentation, reimbursements, vendor records, credit card bills, contract records, and basic financial administration.

    \n
    • \n
  • \n

    Experience in a research lab, university, technology company, startup, or similarly fast-moving environment is a strong advantage.

    \n
    • \n
  • \n

    Experience coordinating with central finance, HR, procurement, legal, banking, or external vendors is preferred.

    \n
    • \n
  • \n

    Familiarity with manual process setup, tracker building, and evolving procedures is preferred.

    \n
    • \n\n
    "},{"text":"Technical Skills","content":"
    \n\n
  • \n

    Strong proficiency in Microsoft Excel or Google Sheets.

    \n
    • \n
  • \n

    Ability to maintain accurate trackers, logs, and simple financial summaries.

    \n
    • \n
  • \n

    Familiarity with invoices, receipts, reimbursements, credit card bills, vendor records, contract repositories, and payment documentation.

    \n
    • \n
  • \n

    Familiarity with banking platforms, expense tools, payroll systems, or accounting software is preferred.

    \n
    • \n
  • \n

    Comfortable using shared drives, digital folders, spreadsheets, and administrative systems.

    \n
    • \n\n
    "},{"text":"Attributes","content":"
    \n\n
  • \n

    Strong attention to detail and commitment to clean, complete, and reliable records.

    \n
    • \n
  • \n

    High integrity and discretion when handling confidential financial, vendor, banking, and management information.

    \n
    • \n
  • \n

    Practical, organized, and reliable, with strong follow-through.

    \n
    • \n
  • \n

    Comfortable following up on missing information, receipts, approvals, and vendor documents.

    \n
    • \n
  • \n

    Able to work independently in a developing operational environment.

    \n
    • \n
  • \n

    Clear communicator who can coordinate professionally with local teams, vendors, IFM management, HQ Finance, and central functions.

    \n
    • \n
  • \n

    Able to manage multiple administrative and financial coordination tasks without losing track of details.

    \n
    • \n\n
    "}],"salaryRange":{"min":70000,"currency":"USD","interval":"per-year-salary","max":110000},"salaryDescription":"
    \n
    Salary Range
    \n
     
    \n
    The posted salary range represents the company’s good faith estimate of the compensation for this position upon hire. The actual compensation offered may vary within this range depending on individual qualifications, including but not limited to relevant skills, experience, education, certifications, geographic location, and specific business needs.  
    \n
    ","salaryDescriptionPlain":"Salary Range\n \nThe posted salary range represents the company’s good faith estimate of the compensation for this position upon hire. The actual compensation offered may vary within this range depending on individual qualifications, including but not limited to relevant skills, experience, education, certifications, geographic location, and specific business needs.  \n","text":"Finance Operations Coordinator","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"
    \n

    About the Institute of Foundation Models

    \n

    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

    \n

    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.

    \n
    \n

    We are seeking a Finance & Admin Coordinator to support the IFM Sunnyvale team. The role will serve as a local coordination point for finance administration, vendor documentation, contract records, credit card and expense tracking, financial data requests, and general administrative support.

    \n

    This is a coordination and documentation role. It does not include tax compliance, accounting close, payment execution, or independent finance decision-making.

    \n
    \n
    ","descriptionBodyPlain":"About the Institute of Foundation Models\nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\nWe are seeking a Finance & Admin Coordinator to support the IFM Sunnyvale team. The role will serve as a local coordination point for finance administration, vendor documentation, contract records, credit card and expense tracking, financial data requests, and general administrative support.\nThis is a coordination and documentation role. It does not include tax compliance, accounting close, payment execution, or independent finance decision-making.\n","hostedUrl":"https://jobs.lever.co/ifm-us/52ce9fff-0872-4e94-9fec-374370f345d9","applyUrl":"https://jobs.lever.co/ifm-us/52ce9fff-0872-4e94-9fec-374370f345d9/apply"},{"additionalPlain":"Visa Sponsorship\nThis position is eligible for visa sponsorship.\n\nBenefits Include\n*Comprehensive medical, dental, and vision benefits \n *Bonus\n*401K Plan\n*Generous paid time off, sick leave and holidays\n*Paid Parental Leave\n*Employee Assistance Program\n*Life insurance and disability\n\n\n","additional":"
    Visa Sponsorship
    This position is eligible for visa sponsorship.

    Benefits Include
    *Comprehensive medical, dental, and vision benefits 
     *Bonus
    *401K Plan
    *Generous paid time off, sick leave and holidays
    *Paid Parental Leave
    *Employee Assistance Program
    *Life insurance and disability


    ","categories":{"commitment":"Full-time","location":"Sunnyvale, CA","team":"Engineering","allLocations":["Sunnyvale, CA"]},"createdAt":1744222396719,"descriptionPlain":"About the Institute of Foundation Models\nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n\nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n\n\n\n\nThe Role\n \nWe are looking for a Full Stack Developer to collaborate with Researchers and ML Engineers to produce AI applications and solutions based on next gen AI research. You’ll be part of a cross-functional team that’s responsible for the full software development life cycle, from conception to deployment.\nAs a Full Stack Developer, you should be comfortable around both front-end and back-end coding languages, development frameworks and third-party libraries. You should also be a team player with a knack for visual design and utility.\n","description":"
    About the Institute of Foundation Models
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.



    The Role
    \n
     
    \n
    We are looking for a Full Stack Developer to collaborate with Researchers and ML Engineers to produce AI applications and solutions based on next gen AI research. You’ll be part of a cross-functional team that’s responsible for the full software development life cycle, from conception to deployment.
    \n
    As a Full Stack Developer, you should be comfortable around both front-end and back-end coding languages, development frameworks and third-party libraries. You should also be a team player with a knack for visual design and utility.
    ","id":"1454349c-eb2b-480b-9a57-edfbb2aeeffe","lists":[{"text":"Key Responsibilities","content":"\n
  • Collaborate with development teams and product managers to implement innovative software solutions based on requirements from internal and external stakeholders.
    • \n
  • Able to develop entire architecture, responsive design, user interaction, and user experience.
    • \n
  • Design client-side and server-side architecture
    • \n
  • Able to develop entire architecture, responsive design, user interaction, and user experience.
    • \n
  • Test software to ensure responsiveness and efficiency
    • \n
  • Troubleshoot, debug and upgrade software
    • \n
  • Create security and data protection settings
    • \n
  • Write technical documentation
    • \n
  • Work with researchers, data scientists and analysts to improve software
    • \n
  • Keep track of new development-related tools, frameworks, methods, and architectures. 
    • \n
  • Contribute to research publications and represent MBZUAI at industry conferences and events, showcasing the institution’s cutting-edge HPC and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation.
    • \n
  • Contribute to the development of intellectual property and thought leadership in the field of high-performance computing for deep learning
    • \n
  • Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives.
    • \n"},{"text":"Academic Qualifications","content":"\n
  • Bachelor’s Computer Science or relevant field required
    • \n
  • Master’s or Ph.D. in Computer Science or relevant field preferred
    • \n"},{"text":"Professional Experience","content":"\n
  • Proven experience as a Full Stack Developer or similar role
    • \n
  • Experience working with AI algorithms and the ability to develop systems accommodating AI related requirements
    • \n
  • Experience developing desktop and mobile applications
    • \n
  • Familiarity with common stacks
    • \n
  • Familiarity with AJAX, GitHub & Git
    • \n
  • Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery)
    • \n
  • Knowledge of multiple back-end languages (e.g. C#, Java, Python) and JavaScript frameworks (e.g. Angular, React, Node.js/NPM)
    • \n
  • Familiarity with databases (e.g. MySQL, MongoDB), web servers (e.g. Apache) and UI/UX design
    • \n
  • Excellent problem-solving and troubleshooting skills to address complex technical challenges.
    • \n
  • Effective communication and collaboration skills to work with cross functional teams.
    • \n"}],"salaryRange":{"min":150000,"max":450000,"currency":"USD","interval":"per-year-salary"},"text":"Full Stack Software Engineer","country":"US","workplaceType":"onsite","opening":"
    About the Institute of Foundation Models
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.


    ","openingPlain":"About the Institute of Foundation Models\nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n\nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n\n\n","descriptionBody":"
    The Role
    \n
     
    \n
    We are looking for a Full Stack Developer to collaborate with Researchers and ML Engineers to produce AI applications and solutions based on next gen AI research. You’ll be part of a cross-functional team that’s responsible for the full software development life cycle, from conception to deployment.
    \n
    As a Full Stack Developer, you should be comfortable around both front-end and back-end coding languages, development frameworks and third-party libraries. You should also be a team player with a knack for visual design and utility.
    ","descriptionBodyPlain":"The Role\n \nWe are looking for a Full Stack Developer to collaborate with Researchers and ML Engineers to produce AI applications and solutions based on next gen AI research. You’ll be part of a cross-functional team that’s responsible for the full software development life cycle, from conception to deployment.\nAs a Full Stack Developer, you should be comfortable around both front-end and back-end coding languages, development frameworks and third-party libraries. You should also be a team player with a knack for visual design and utility.\n","hostedUrl":"https://jobs.lever.co/ifm-us/1454349c-eb2b-480b-9a57-edfbb2aeeffe","applyUrl":"https://jobs.lever.co/ifm-us/1454349c-eb2b-480b-9a57-edfbb2aeeffe/apply"},{"additionalPlain":"Benefits Include\n*Comprehensive medical, dental, and vision benefits \n *Bonus\n*401K Plan\n*Generous paid time off, sick leave and holidays\n*Paid Parental Leave\n*Employee Assistance Program\n*Life insurance and disability\n","additional":"
    \n
    Benefits Include
    \n
    *Comprehensive medical, dental, and vision benefits 
    \n
     *Bonus
    \n
    *401K Plan
    \n
    *Generous paid time off, sick leave and holidays
    \n
    *Paid Parental Leave
    \n
    *Employee Assistance Program
    \n
    *Life insurance and disability
    \n
    ","categories":{"commitment":"Full-time","location":"Sunnyvale, CA","team":"Operations","allLocations":["Sunnyvale, CA"]},"createdAt":1774906897961,"descriptionPlain":" \nAbout the Institute of Foundation Models\n \nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n \nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\nThe Role \nWe are seeking a Director of Communications to lead all U.S. communications for IFM, based in Sunnyvale. This senior role will define and execute a strategic program that elevates IFM’s profile and positions its models at the center of the global AI conversation. \nYou will lead outbound communications across media, podcasts, and influencers; spearhead major model launches; and manage a small, high-impact team supporting IFM’s growing presence in Silicon Valley. \nKey Responsibilities \nStrategy & Positioning \nDevelop and execute IFM’s U.S. communications strategy aligned to global priorities  \n\n\n","description":"
    \n
    \n

     

    \n
    About the Institute of Foundation Models
    \n
     
    \n
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.
    \n
     
    \n
    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.
    \n

    The Role 

    \n
    \n
    \n

    We are seeking a Director of Communications to lead all U.S. communications for IFM, based in Sunnyvale. This senior role will define and execute a strategic program that elevates IFM’s profile and positions its models at the center of the global AI conversation. 

    \n
    \n
    \n

    You will lead outbound communications across media, podcasts, and influencers; spearhead major model launches; and manage a small, high-impact team supporting IFM’s growing presence in Silicon Valley. 

    \n
    \n

    Key Responsibilities 

    \n
    \n
    \n

    Strategy & Positioning 

    \n
    \n
    \n
      \n
    • \n

      Develop and execute IFM’s U.S. communications strategy aligned to global priorities  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Translate complex research into clear, compelling narratives  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Establish IFM as a leading voice in foundation and world models  

      \n
      • \n
    \n
    \n
    \n
    \n

    Launches & Campaigns 

    \n
    \n
    \n
      \n
    • \n

      Lead communications for major model and research launches  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Partner with research and leadership on positioning and messaging  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Drive integrated campaigns across earned, social, and influencer channels  

      \n
      • \n
    \n
    \n
    \n

    Media & Influencer Engagement 

    \n
    \n
    \n
      \n
    • \n

      Build relationships with top-tier media, analysts, podcasters, and AI influencers  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Drive proactive storytelling and thought leadership  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Secure high-impact coverage and speaking opportunities  

      \n
      • \n
    \n
    \n
    \n

    Team & Operations 

    \n
    \n
    \n
      \n
    • \n

      Lead a small, high-performing team and manage agency partners  

      \n
      • \n
    \n
    \n
    \n
    \n
    \n
      \n
    • \n

      Ensure disciplined execution, measurement, and impact  

      \n
      • \n
    \n
    \n
    \n

    Community Engagement 

    \n
    \n
    \n
      \n
    • \n

      Support IFM’s presence in Silicon Valley through events and partnerships  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Engage researchers, developers, and the broader AI ecosystem 

      \n
      • \n
    \n
    \n
    \n

    Qualifications 

    \n
    \n
    \n
      \n
    • \n

      10–15+ years in communications, with strong experience in technology or AI  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Proven track record leading high-profile product or research launches  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Deep understanding of the AI landscape (foundation models, LLMs, emerging systems)  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Strong media and influencer network in tech/AI  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Experience leading teams and operating in fast-paced, global environments  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Ability to translate complex technical concepts into clear narratives 

      \n
      • \n
    \n
    \n
    \n
    \n
    \n
    \n
    ","id":"a4bf360c-c8eb-47a6-8a66-fe9e0ed4fee5","lists":[],"salaryRange":{"min":300000,"max":350000,"currency":"USD","interval":"per-year-salary"},"text":"Head of Communications & Marketing, Institute of Foundation Models (IFM)","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"
    \n
    \n

     

    \n
    About the Institute of Foundation Models
    \n
     
    \n
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.
    \n
     
    \n
    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.
    \n

    The Role 

    \n
    \n
    \n

    We are seeking a Director of Communications to lead all U.S. communications for IFM, based in Sunnyvale. This senior role will define and execute a strategic program that elevates IFM’s profile and positions its models at the center of the global AI conversation. 

    \n
    \n
    \n

    You will lead outbound communications across media, podcasts, and influencers; spearhead major model launches; and manage a small, high-impact team supporting IFM’s growing presence in Silicon Valley. 

    \n
    \n

    Key Responsibilities 

    \n
    \n
    \n

    Strategy & Positioning 

    \n
    \n
    \n
      \n
    • \n

      Develop and execute IFM’s U.S. communications strategy aligned to global priorities  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Translate complex research into clear, compelling narratives  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Establish IFM as a leading voice in foundation and world models  

      \n
      • \n
    \n
    \n
    \n
    \n

    Launches & Campaigns 

    \n
    \n
    \n
      \n
    • \n

      Lead communications for major model and research launches  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Partner with research and leadership on positioning and messaging  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Drive integrated campaigns across earned, social, and influencer channels  

      \n
      • \n
    \n
    \n
    \n

    Media & Influencer Engagement 

    \n
    \n
    \n
      \n
    • \n

      Build relationships with top-tier media, analysts, podcasters, and AI influencers  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Drive proactive storytelling and thought leadership  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Secure high-impact coverage and speaking opportunities  

      \n
      • \n
    \n
    \n
    \n

    Team & Operations 

    \n
    \n
    \n
      \n
    • \n

      Lead a small, high-performing team and manage agency partners  

      \n
      • \n
    \n
    \n
    \n
    \n
    \n
      \n
    • \n

      Ensure disciplined execution, measurement, and impact  

      \n
      • \n
    \n
    \n
    \n

    Community Engagement 

    \n
    \n
    \n
      \n
    • \n

      Support IFM’s presence in Silicon Valley through events and partnerships  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Engage researchers, developers, and the broader AI ecosystem 

      \n
      • \n
    \n
    \n
    \n

    Qualifications 

    \n
    \n
    \n
      \n
    • \n

      10–15+ years in communications, with strong experience in technology or AI  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Proven track record leading high-profile product or research launches  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Deep understanding of the AI landscape (foundation models, LLMs, emerging systems)  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Strong media and influencer network in tech/AI  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Experience leading teams and operating in fast-paced, global environments  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Ability to translate complex technical concepts into clear narratives 

      \n
      • \n
    \n
    \n
    \n
    \n
    \n
    \n
    ","descriptionBodyPlain":" \nAbout the Institute of Foundation Models\n \nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n \nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\nThe Role \nWe are seeking a Director of Communications to lead all U.S. communications for IFM, based in Sunnyvale. This senior role will define and execute a strategic program that elevates IFM’s profile and positions its models at the center of the global AI conversation. \nYou will lead outbound communications across media, podcasts, and influencers; spearhead major model launches; and manage a small, high-impact team supporting IFM’s growing presence in Silicon Valley. \nKey Responsibilities \nStrategy & Positioning \nDevelop and execute IFM’s U.S. communications strategy aligned to global priorities  \n\n\n","hostedUrl":"https://jobs.lever.co/ifm-us/a4bf360c-c8eb-47a6-8a66-fe9e0ed4fee5","applyUrl":"https://jobs.lever.co/ifm-us/a4bf360c-c8eb-47a6-8a66-fe9e0ed4fee5/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full-time","location":"Abu Dhabi","team":"Engineering","allLocations":["Abu Dhabi"]},"createdAt":1755234079183,"descriptionPlain":"About the Institute of Foundation Models\n \nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n \nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n\nThe Role\n\nIFM is building the foundational compute infrastructure that will power tomorrow’s breakthroughs in AI and computational science. We’re looking for a High Performance Computing Software Engineer to help us design, develop, and operate the software systems that run our large-scale AI workloads.\n\nIn this role, you’ll work at the intersection of high-performance computing and machine learning. You’ll be part of a team responsible for crafting the software stack that enables training of cutting-edge ML models—spanning 1000+ GPUs—and ensuring our infrastructure is robust, performant, and developer-friendly.\n","description":"
    About the Institute of Foundation Models
     
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.
     
    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.

    The Role

    IFM is building the foundational compute infrastructure that will power tomorrow’s breakthroughs in AI and computational science. We’re looking for a High Performance Computing Software Engineer to help us design, develop, and operate the software systems that run our large-scale AI workloads.

    In this role, you’ll work at the intersection of high-performance computing and machine learning. You’ll be part of a team responsible for crafting the software stack that enables training of cutting-edge ML models—spanning 1000+ GPUs—and ensuring our infrastructure is robust, performant, and developer-friendly.
    ","id":"5c662f6d-0043-4bba-8b58-53dd4afd8e4e","lists":[{"text":"Job Responsibilities","content":"
  • Design and implement high-performance, distributed software solutions for large-scale AI/ML training.
  • Optimize low-level system components including Linux kernel, GPU/accelerator kernels, and interconnects.
  • Develop and tune communication libraries such as NCCL, MPI, UCX, RCCL, and RDMA-based systems.
  • Partner with ML researchers and engineers to support frameworks like PyTorch, MegatronLM, and DeepSpeed in large-scale production environments.
  • Contribute to our scheduling, orchestration, and job management systems, including Slurm and Kubernetes.
  • Debug and resolve complex issues across the stack—from kernel to container to model.
  • Work closely with hardware vendors, upstream open-source communities, and internal teams to drive performance and reliability improvements.
    • "},{"text":"Skills & Experience","content":"
  • Proven experience developing and optimizing software for large-scale ML workloads (1000+ GPUs preferred).
  • Deep understanding of Linux kernel internals and accelerator (GPU) kernel development.
  • Proficiency with distributed communication libraries (e.g., NCCL, RCCL, MPI, UCX, SHARP, Libfabric).
  • Experience with ML frameworks like PyTorch, TensorFlow, JAX, or MegatronLM.
  • Strong knowledge of HPC job scheduling and orchestration tools (e.g., Slurm, Kubernetes, Pyxis).
  • Excellent debugging and systems performance tuning skills.
  • A collaborative mindset with a focus on shared success and technical excellence.
    • "}],"text":"High Performance Computing Software Engineer - Supercomputing","country":"AE","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"
    About the Institute of Foundation Models
     
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.
     
    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.

    The Role

    IFM is building the foundational compute infrastructure that will power tomorrow’s breakthroughs in AI and computational science. We’re looking for a High Performance Computing Software Engineer to help us design, develop, and operate the software systems that run our large-scale AI workloads.

    In this role, you’ll work at the intersection of high-performance computing and machine learning. You’ll be part of a team responsible for crafting the software stack that enables training of cutting-edge ML models—spanning 1000+ GPUs—and ensuring our infrastructure is robust, performant, and developer-friendly.
    ","descriptionBodyPlain":"About the Institute of Foundation Models\n \nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n \nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n\nThe Role\n\nIFM is building the foundational compute infrastructure that will power tomorrow’s breakthroughs in AI and computational science. We’re looking for a High Performance Computing Software Engineer to help us design, develop, and operate the software systems that run our large-scale AI workloads.\n\nIn this role, you’ll work at the intersection of high-performance computing and machine learning. You’ll be part of a team responsible for crafting the software stack that enables training of cutting-edge ML models—spanning 1000+ GPUs—and ensuring our infrastructure is robust, performant, and developer-friendly.\n","hostedUrl":"https://jobs.lever.co/ifm-us/5c662f6d-0043-4bba-8b58-53dd4afd8e4e","applyUrl":"https://jobs.lever.co/ifm-us/5c662f6d-0043-4bba-8b58-53dd4afd8e4e/apply"},{"additionalPlain":"","additional":"
    \n
    Benefits Include
    \n
    *Comprehensive medical, dental, and vision benefits 
    \n
     *Bonus
    \n
    *401K Plan
    \n
    *Generous paid time off, sick leave and holidays
    \n
    *Paid Parental Leave
    \n
    *Employee Assistance Program
    \n
    *Life insurance and disability
    \n
     
    \n
    ","categories":{"commitment":"Full-time","location":"Sunnyvale, CA","team":"Engineering","allLocations":["Sunnyvale, CA"]},"createdAt":1780336945636,"descriptionPlain":"","description":"
    About MBZUAI
    The Institute for Foundation Models (IFM) operates some of the world's largest AI supercomputing environments.

    Position Summary
    This role provides operational coverage during Abu Dhabi overnight hours and serves as a primary point of contact for infrastructure monitoring, incident triage, researcher support, and production operations.
    ","id":"4c44a0f8-5179-41b3-a0b1-fd0902da9e5b","lists":[{"text":"Responsibilities","content":"
    • Monitor health, performance, and availability of large-scale GPU clusters.
    • Respond to incidents and perform first-level triage.
    • Support researchers and troubleshoot job failures.
    • Execute operational runbooks and recovery procedures.
    • Validate cluster deployments, upgrades, and maintenance activities.
    • Track infrastructure utilization and operational metrics.
    • Develop automation and monitoring tools.
    • Contribute to documentation and reporting.
    "},{"text":"Education","content":"
    Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Information Technology, Electrical Engineering, Mathematics, Physics, or related disciplines.

    "},{"text":" Experience","content":"
    • 2+ years in Linux systems administration, SRE, DevOps, cloud operations, HPC, or infrastructure operations.
    • Strong Linux troubleshooting skills.
    • Experience with scripting using Python or Bash.
    "},{"text":" Preferred Qualifications","content":"
    • Slurm.
    • GPU infrastructure.
    • AWS, Azure, or GCP.
    • Grafana, Prometheus, Datadog, or similar tools.
    • Containers and Kubernetes.
    • AI/ML infrastructure exposure.
    • Research computing environments.
    "}],"salaryRange":{"min":150000,"max":300000,"currency":"USD","interval":"per-year-salary"},"text":"HPC Engineer","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"
    About MBZUAI
    The Institute for Foundation Models (IFM) operates some of the world's largest AI supercomputing environments.

    Position Summary
    This role provides operational coverage during Abu Dhabi overnight hours and serves as a primary point of contact for infrastructure monitoring, incident triage, researcher support, and production operations.
    ","descriptionBodyPlain":"","hostedUrl":"https://jobs.lever.co/ifm-us/4c44a0f8-5179-41b3-a0b1-fd0902da9e5b","applyUrl":"https://jobs.lever.co/ifm-us/4c44a0f8-5179-41b3-a0b1-fd0902da9e5b/apply"},{"additionalPlain":"Visa Sponsorship\nThis position is eligible for visa sponsorship.\n\nBenefits Include\n*Comprehensive medical, dental, and vision benefits \n *Bonus\n*401K Plan\n*Generous paid time off, sick leave and holidays\n*Paid Parental Leave\n*Employee Assistance Program\n*Life insurance and disability\n\n\n","additional":"
    Visa Sponsorship
    This position is eligible for visa sponsorship.

    Benefits Include
    *Comprehensive medical, dental, and vision benefits 
     *Bonus
    *401K Plan
    *Generous paid time off, sick leave and holidays
    *Paid Parental Leave
    *Employee Assistance Program
    *Life insurance and disability


    ","categories":{"commitment":"Full-time","location":"Sunnyvale, CA","team":"Operations","allLocations":["Sunnyvale, CA"]},"createdAt":1776717627605,"descriptionPlain":"About the Institute of Foundation Models\nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n\nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n\n\n\n\nAbout the Role\nWe are seeking an experienced and highly service-oriented IT Operations Lead to serve as the critical bridge between our U.S. and UAE offices. This is not a traditional help desk position; rather, it is a hands-on operational leadership role responsible for ensuring the reliability, security, and efficiency of our end-user technology environment.\nThe ideal candidate will combine strong systems administration expertise with exceptional customer service, enabling seamless onboarding, day-to-day operations, and global collaboration across time zones. You will play a key role in building and maintaining our IT infrastructure, supporting employees directly, and driving operational continuity across the organization.\n","description":"
    About the Institute of Foundation Models
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.



    \n

    About the Role

    \n

    We are seeking an experienced and highly service-oriented IT Operations Lead to serve as the critical bridge between our U.S. and UAE offices. This is not a traditional help desk position; rather, it is a hands-on operational leadership role responsible for ensuring the reliability, security, and efficiency of our end-user technology environment.

    \n

    The ideal candidate will combine strong systems administration expertise with exceptional customer service, enabling seamless onboarding, day-to-day operations, and global collaboration across time zones. You will play a key role in building and maintaining our IT infrastructure, supporting employees directly, and driving operational continuity across the organization.

    \n
    ","id":"46be8bbe-45b7-4a20-9b96-99bdf7b74f82","lists":[{"text":"Key Responsibilities","content":"
    \n

    IT Operations & Infrastructure

    \n
    "},{"text":"Academic Qualifications","content":"\n
  • 5–7 years of experience in IT Operations, Systems Administration, Infrastructure Support, or a related role.
    • \n
  • Experience managing endpoint devices, MDM platforms, and enterprise IT environments.
    • \n
  • Strong understanding of IT security, VPN technologies, access management, and compliance best practices.
    • \n
  • Experience supporting office infrastructure, including networking, storage solutions, printers, and collaboration technologies.
    • \n
  • Proven experience with IT asset management and vendor management.
    • \n
  • Excellent troubleshooting, communication, and customer service skills.
    • \n
  • Ability to work independently in a fast-paced, high-growth environment.
    • \n"},{"text":"Preferred Skills","content":"\n
  • Strong operational mindset focused on reliability, continuity, and service delivery.
    • \n
  • Comfortable balancing strategic IT initiatives with hands-on support responsibilities.
    • \n
  • Highly organized, proactive, and detail-oriented.
    • \n
  • Experience supporting geographically distributed teams and global operations.
    • \n"}],"salaryRange":{"min":100000,"max":150000,"currency":"USD","interval":"per-year-salary"},"text":"IT Operations Lead","country":"US","workplaceType":"onsite","opening":"
    About the Institute of Foundation Models
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.


    ","openingPlain":"About the Institute of Foundation Models\nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n\nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n\n\n","descriptionBody":"
    \n

    About the Role

    \n

    We are seeking an experienced and highly service-oriented IT Operations Lead to serve as the critical bridge between our U.S. and UAE offices. This is not a traditional help desk position; rather, it is a hands-on operational leadership role responsible for ensuring the reliability, security, and efficiency of our end-user technology environment.

    \n

    The ideal candidate will combine strong systems administration expertise with exceptional customer service, enabling seamless onboarding, day-to-day operations, and global collaboration across time zones. You will play a key role in building and maintaining our IT infrastructure, supporting employees directly, and driving operational continuity across the organization.

    \n
    ","descriptionBodyPlain":"About the Role\nWe are seeking an experienced and highly service-oriented IT Operations Lead to serve as the critical bridge between our U.S. and UAE offices. This is not a traditional help desk position; rather, it is a hands-on operational leadership role responsible for ensuring the reliability, security, and efficiency of our end-user technology environment.\nThe ideal candidate will combine strong systems administration expertise with exceptional customer service, enabling seamless onboarding, day-to-day operations, and global collaboration across time zones. You will play a key role in building and maintaining our IT infrastructure, supporting employees directly, and driving operational continuity across the organization.\n","hostedUrl":"https://jobs.lever.co/ifm-us/46be8bbe-45b7-4a20-9b96-99bdf7b74f82","applyUrl":"https://jobs.lever.co/ifm-us/46be8bbe-45b7-4a20-9b96-99bdf7b74f82/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full-time","location":"Abu Dhabi","team":"Engineering","allLocations":["Abu Dhabi"]},"createdAt":1751460598924,"descriptionPlain":"About the Institute of Foundation Models\nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n\nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n\nThe Role\nAs a Machine Learning Engineer at the Institute of Foundation Models, your primary responsibility is to develop and implement innovative machine learning models that address real-world challenges, pushing the boundaries of artificial intelligence research. You will collaborate with cross-functional teams to deploy scalable solutions, contributing to MBZUAI’s mission of driving impactful AI discoveries and positioning the institution as a leader in the global AI research community. Your expertise will be key in enhancing the performance of large-scale machine learning models, while supporting the development of transformative AI tools that can influence industries worldwide.\n","description":"
    About the Institute of Foundation Models
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.

    The Role
    As a Machine Learning Engineer at the Institute of Foundation Models, your primary responsibility is to develop and implement innovative machine learning models that address real-world challenges, pushing the boundaries of artificial intelligence research. You will collaborate with cross-functional teams to deploy scalable solutions, contributing to MBZUAI’s mission of driving impactful AI discoveries and positioning the institution as a leader in the global AI research community. Your expertise will be key in enhancing the performance of large-scale machine learning models, while supporting the development of transformative AI tools that can influence industries worldwide.
    ","id":"ca16d96e-3ac6-48c9-b29f-5375621b033f","lists":[{"text":"Key Responsibilities","content":"
  • Collaborate with Research teams to understand technologies, adapting and integrating them into codebase.
  • Develop and implement systems to support the lifecycle of machine learning models, such as data preprocessing, pre-training, post-training, evaluation and so on, especially foundation models.
  • Participate in or lead design reviews with peers and stakeholders to decide amongst available technologies.
  • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
  • Contribute to research papers and represent MBZUAI at industry conferences and events, showcasing the institution’s cutting-edge HPC and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation.
  • Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives.
    • "},{"text":"Academic Qualifications","content":"
  • Minimum: Bachelor’s degree or equivalent practical experience. 
  • Preferred: Master's degree or PhD in Computer Science or related technical field.
    • "},{"text":"Professional Experience - Minimum","content":"
  • 3 years of experience in software engineering, including experience with Machine Learning (ML) models, ML infrastructure, Natural Language Processing or Computer Vision.
  • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting.
  • 2 years of experience with data structures or algorithms in either an academic or industry setting.
  • 2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, or natural language processing.
  • Excellent problem-solving and troubleshooting skills to address complex technical challenges.
  • Effective communication and collaboration skills to work with cross functional teams.
    • "},{"text":"Professional Experience - Preferred","content":"
  • 2 years of experience with improving performance during large scale data processing
  • Hands-on experience with LLM algorithms, such as Supervised Fine-Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF).
  • Excellent data analysis skills.
    • "}],"text":"Machine Learning Engineer","country":"AE","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"
    About the Institute of Foundation Models
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.

    The Role
    As a Machine Learning Engineer at the Institute of Foundation Models, your primary responsibility is to develop and implement innovative machine learning models that address real-world challenges, pushing the boundaries of artificial intelligence research. You will collaborate with cross-functional teams to deploy scalable solutions, contributing to MBZUAI’s mission of driving impactful AI discoveries and positioning the institution as a leader in the global AI research community. Your expertise will be key in enhancing the performance of large-scale machine learning models, while supporting the development of transformative AI tools that can influence industries worldwide.
    ","descriptionBodyPlain":"About the Institute of Foundation Models\nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n\nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n\nThe Role\nAs a Machine Learning Engineer at the Institute of Foundation Models, your primary responsibility is to develop and implement innovative machine learning models that address real-world challenges, pushing the boundaries of artificial intelligence research. You will collaborate with cross-functional teams to deploy scalable solutions, contributing to MBZUAI’s mission of driving impactful AI discoveries and positioning the institution as a leader in the global AI research community. Your expertise will be key in enhancing the performance of large-scale machine learning models, while supporting the development of transformative AI tools that can influence industries worldwide.\n","hostedUrl":"https://jobs.lever.co/ifm-us/ca16d96e-3ac6-48c9-b29f-5375621b033f","applyUrl":"https://jobs.lever.co/ifm-us/ca16d96e-3ac6-48c9-b29f-5375621b033f/apply"},{"additionalPlain":"Visa Sponsorship\nThis position is eligible for visa sponsorship.\n\nBenefits Include\n*Comprehensive medical, dental, and vision benefits \n *Bonus\n*401K Plan\n*Generous paid time off, sick leave and holidays\n*Paid Parental Leave\n*Employee Assistance Program\n*Life insurance and disability\n\n\n","additional":"
    Visa Sponsorship
    This position is eligible for visa sponsorship.

    Benefits Include
    *Comprehensive medical, dental, and vision benefits 
     *Bonus
    *401K Plan
    *Generous paid time off, sick leave and holidays
    *Paid Parental Leave
    *Employee Assistance Program
    *Life insurance and disability


    ","categories":{"commitment":"Full-time","location":"Sunnyvale, CA","team":"Engineering","allLocations":["Sunnyvale, CA"]},"createdAt":1742242132543,"descriptionPlain":"About the Institute of Foundation Models\nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n\nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n\n\n\n\nThe Role\nAs a Machine Learning Engineer at the Institute of Foundation Models, your primary responsibility is to develop and implement innovative machine learning models that address real-world challenges, pushing the boundaries of artificial intelligence research. You will collaborate with cross-functional teams to deploy scalable solutions, contributing to MBZUAI’s mission of driving impactful AI discoveries and positioning the institution as a leader in the global AI research community. Your expertise will be key in enhancing the performance of large-scale machine learning models, while supporting the development of transformative AI tools that can influence industries worldwide.\n","description":"
    About the Institute of Foundation Models
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.



    The Role
    \n
    As a Machine Learning Engineer at the Institute of Foundation Models, your primary responsibility is to develop and implement innovative machine learning models that address real-world challenges, pushing the boundaries of artificial intelligence research. You will collaborate with cross-functional teams to deploy scalable solutions, contributing to MBZUAI’s mission of driving impactful AI discoveries and positioning the institution as a leader in the global AI research community. Your expertise will be key in enhancing the performance of large-scale machine learning models, while supporting the development of transformative AI tools that can influence industries worldwide.
    ","id":"ca550f5b-8c13-4a8e-8b03-0300b113acce","lists":[{"text":"Key Responsibilites","content":"\n
  • Collaborate with Research teams to understand technologies, adapting and integrating them into codebase.
    • \n
  • Develop and implement systems to support the lifecycle of machine learning models, such as data preprocessing, pre-training, post-training, evaluation and so on, especially foundation models.
    • \n
  • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
    • \n
  • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
    • \n
  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
    • \n
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
    • \n
  • Contribute to research papers and represent MBZUAI at industry conferences and events, showcasing the institution’s cutting-edge HPC and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation.
    • \n
  • Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives.
    • \n"},{"text":"Academic Qualifications","content":"\n
  • Minimum: Bachelor’s degree or equivalent practical experience. 
    • \n
  • Preferred: Master's degree or PhD in Computer Science or related technical field.
    • \n\n
     
    "},{"text":"Professional Experience - Minimum","content":"\n
  • 3 years of experience in software engineering, including experience with Machine Learning (ML) models, ML infrastructure, Natural Language Processing or Computer Vision.
    • \n
  • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting.
    • \n
  • 2 years of experience with data structures or algorithms in either an academic or industry setting.
    • \n
  • 2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, or natural language processing.
    • \n
  • Excellent problem-solving and troubleshooting skills to address complex technical challenges.
    • \n
  • Effective communication and collaboration skills to work with cross functional teams.
    • \n"},{"text":"Professional Experience - Preferred","content":"\n
  • 2 years of experience with improving performance during large scale data processing
    • \n
  • Hands-on experience with LLM algorithms, such as Supervised Fine-Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF).
    • \n
  • Excellent data analysis skills.
    • \n"}],"salaryRange":{"min":150000,"max":450000,"currency":"USD","interval":"per-year-salary"},"text":"Machine Learning Engineer","country":"US","workplaceType":"onsite","opening":"
    About the Institute of Foundation Models
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.


    ","openingPlain":"About the Institute of Foundation Models\nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n\nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n\n\n","descriptionBody":"
    The Role
    \n
    As a Machine Learning Engineer at the Institute of Foundation Models, your primary responsibility is to develop and implement innovative machine learning models that address real-world challenges, pushing the boundaries of artificial intelligence research. You will collaborate with cross-functional teams to deploy scalable solutions, contributing to MBZUAI’s mission of driving impactful AI discoveries and positioning the institution as a leader in the global AI research community. Your expertise will be key in enhancing the performance of large-scale machine learning models, while supporting the development of transformative AI tools that can influence industries worldwide.
    ","descriptionBodyPlain":"The Role\nAs a Machine Learning Engineer at the Institute of Foundation Models, your primary responsibility is to develop and implement innovative machine learning models that address real-world challenges, pushing the boundaries of artificial intelligence research. You will collaborate with cross-functional teams to deploy scalable solutions, contributing to MBZUAI’s mission of driving impactful AI discoveries and positioning the institution as a leader in the global AI research community. Your expertise will be key in enhancing the performance of large-scale machine learning models, while supporting the development of transformative AI tools that can influence industries worldwide.\n","hostedUrl":"https://jobs.lever.co/ifm-us/ca550f5b-8c13-4a8e-8b03-0300b113acce","applyUrl":"https://jobs.lever.co/ifm-us/ca550f5b-8c13-4a8e-8b03-0300b113acce/apply"},{"additionalPlain":"Visa Sponsorship\nThis position is eligible for visa sponsorship.\n \nBenefits Include\n*Comprehensive medical, dental, and vision benefits \n *Bonus\n*401K Plan\n*Generous paid time off, sick leave and holidays\n*Paid Parental Leave\n*Employee Assistance Program\n*Life insurance and disability\n \n","additional":"
    \n
    Visa Sponsorship
    \n
    This position is eligible for visa sponsorship.
    \n
     
    \n
    Benefits Include
    \n
    *Comprehensive medical, dental, and vision benefits 
    \n
     *Bonus
    \n
    *401K Plan
    \n
    *Generous paid time off, sick leave and holidays
    \n
    *Paid Parental Leave
    \n
    *Employee Assistance Program
    \n
    *Life insurance and disability
    \n
     
    \n
    ","categories":{"commitment":"Full-time","location":"Sunnyvale, CA","team":"Engineering","allLocations":["Sunnyvale, CA"]},"createdAt":1778019210684,"descriptionPlain":"About the Institute of Foundation Models \nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. \nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. \nThe Team \nWe are the AllWorld Team under the Institute of Foundation Model (IFM) at MBZUAI. At AllWorld, we are pioneering the development of the PAN (Physical, Agentic, and Networked) world models—the next-generation foundation models to unlock machine intelligence beyond lingual.  \n  \nOur mission is to tackle the fundamental challenges of world modeling and establish a new paradigm for next-generation machine reasoning. We are looking for passionate individuals who share our vision and are eager to push the boundaries of AI together. \n \nRole Overview \nWe’re looking for a Machine Learning Engineer focused on ML infrastructure and MLOps to design and operate the systems that power our research environment. You’ll build scalable, reliable, and observable cloud infrastructure, working closely with researchers to support data pipelines, experimentation, and evaluation workflows. \n\n\n","description":"
    \n
    \n
    \n

    About the Institute of Foundation Models 
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. 

    \n
    \n
    \n

    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. 

    \n
    \n
    \n

    The Team 

    \n
    \n
    \n

    We are the AllWorld Team under the Institute of Foundation Model (IFM) at MBZUAI. At AllWorld, we are pioneering the development of the PAN (Physical, Agentic, and Networked) world models—the next-generation foundation models to unlock machine intelligence beyond lingual.  

    \n
    \n
    \n

      

    \n
    \n
    \n

    Our mission is to tackle the fundamental challenges of world modeling and establish a new paradigm for next-generation machine reasoning. We are looking for passionate individuals who share our vision and are eager to push the boundaries of AI together. 

    \n
    \n
    \n

     

    \n
    \n
    \n

    Role Overview 

    \n
    \n
    \n
      \n
    • \n

      We’re looking for a Machine Learning Engineer focused on ML infrastructure and MLOps to design and operate the systems that power our research environment. You’ll build scalable, reliable, and observable cloud infrastructure, working closely with researchers to support data pipelines, experimentation, and evaluation workflows. 

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      This role balances fast-moving research needs with production-grade systems, ensuring that experimental work can scale reliably when needed. 

      \n
      • \n
    \n
    \n
    \n

    Key Responsibilities 

    \n
    \n
    \n
      \n
    • \n

      Design, build, and operate scalable ML infrastructure on AWS (e.g., compute, storage, networking, access control).  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Develop and maintain MLOps workflows for data versioning 

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Build and manage distributed systems for large-scale data processing (filtering, captioning, etc.) and model evaluation.  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Own architecture decisions for ML infrastructure and drive best practices in reliability, scalability, and cost efficiency.  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Implement observability across systems, including monitoring, logging, and alerting.  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Integrate OpenWebUI, Gradio, or similar UIs for data quality assurance 

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Build and maintain dashboards for experiment tracking and system health.  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Partner closely with researchers to translate experimental workflows into robust, scalable systems.  

      \n
      • \n
    \n
    \n
    \n
    \n
    \n

    Qualifications 

    \n
    \n
    \n

    Must-Haves 

    \n
    \n
    \n
      \n
    • \n

      3+ years of experience in MLOps, ML infrastructure, or related backend/platform engineering roles.  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Strong experience with cloud platforms (preferably AWS) and core services for compute, storage, and access control.  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Experience designing and operating distributed systems (e.g., Kubernetes, Ray, or similar frameworks).  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Solid software engineering skills, including system design, debugging, and testing (Python, Docker, Git).  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Familiarity with data processing and pipeline orchestration tools (e.g., Spark, Kafka, or similar).  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Experience with observability practices (monitoring, logging, alerting).  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Ability to work closely with researchers and translate ambiguous requirements into production-ready systems.  

      \n
      • \n
    \n
    \n
    \n

    Nice-to-Haves 

    \n
    \n
    \n
      \n
    • \n

      Experience in fast-paced or research-driven environments.  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Experience with large-scale video or multimodal data pipelines.  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Experience building automated model evaluation or benchmarking systems.  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Knowledge of cost optimization, security, and networking in multi-tenant environments.  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Familiarity with modern developer and AI-assisted coding (e.g., Codex, Cursor, Claude Code) 

      \n
      • \n
    \n
    \n
    \n
    ","id":"f527ece9-8e42-4921-90c1-a1799f31bf4b","lists":[],"salaryRange":{"min":150000,"max":450000,"currency":"USD","interval":"per-year-salary"},"text":"Machine Learning Engineer – World Model","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"
    \n
    \n
    \n

    About the Institute of Foundation Models 
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. 

    \n
    \n
    \n

    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. 

    \n
    \n
    \n

    The Team 

    \n
    \n
    \n

    We are the AllWorld Team under the Institute of Foundation Model (IFM) at MBZUAI. At AllWorld, we are pioneering the development of the PAN (Physical, Agentic, and Networked) world models—the next-generation foundation models to unlock machine intelligence beyond lingual.  

    \n
    \n
    \n

      

    \n
    \n
    \n

    Our mission is to tackle the fundamental challenges of world modeling and establish a new paradigm for next-generation machine reasoning. We are looking for passionate individuals who share our vision and are eager to push the boundaries of AI together. 

    \n
    \n
    \n

     

    \n
    \n
    \n

    Role Overview 

    \n
    \n
    \n
      \n
    • \n

      We’re looking for a Machine Learning Engineer focused on ML infrastructure and MLOps to design and operate the systems that power our research environment. You’ll build scalable, reliable, and observable cloud infrastructure, working closely with researchers to support data pipelines, experimentation, and evaluation workflows. 

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      This role balances fast-moving research needs with production-grade systems, ensuring that experimental work can scale reliably when needed. 

      \n
      • \n
    \n
    \n
    \n

    Key Responsibilities 

    \n
    \n
    \n
      \n
    • \n

      Design, build, and operate scalable ML infrastructure on AWS (e.g., compute, storage, networking, access control).  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Develop and maintain MLOps workflows for data versioning 

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Build and manage distributed systems for large-scale data processing (filtering, captioning, etc.) and model evaluation.  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Own architecture decisions for ML infrastructure and drive best practices in reliability, scalability, and cost efficiency.  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Implement observability across systems, including monitoring, logging, and alerting.  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Integrate OpenWebUI, Gradio, or similar UIs for data quality assurance 

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Build and maintain dashboards for experiment tracking and system health.  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Partner closely with researchers to translate experimental workflows into robust, scalable systems.  

      \n
      • \n
    \n
    \n
    \n
    \n
    \n

    Qualifications 

    \n
    \n
    \n

    Must-Haves 

    \n
    \n
    \n
      \n
    • \n

      3+ years of experience in MLOps, ML infrastructure, or related backend/platform engineering roles.  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Strong experience with cloud platforms (preferably AWS) and core services for compute, storage, and access control.  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Experience designing and operating distributed systems (e.g., Kubernetes, Ray, or similar frameworks).  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Solid software engineering skills, including system design, debugging, and testing (Python, Docker, Git).  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Familiarity with data processing and pipeline orchestration tools (e.g., Spark, Kafka, or similar).  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Experience with observability practices (monitoring, logging, alerting).  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Ability to work closely with researchers and translate ambiguous requirements into production-ready systems.  

      \n
      • \n
    \n
    \n
    \n

    Nice-to-Haves 

    \n
    \n
    \n
      \n
    • \n

      Experience in fast-paced or research-driven environments.  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Experience with large-scale video or multimodal data pipelines.  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Experience building automated model evaluation or benchmarking systems.  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Knowledge of cost optimization, security, and networking in multi-tenant environments.  

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Familiarity with modern developer and AI-assisted coding (e.g., Codex, Cursor, Claude Code) 

      \n
      • \n
    \n
    \n
    \n
    ","descriptionBodyPlain":"About the Institute of Foundation Models \nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. \nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. \nThe Team \nWe are the AllWorld Team under the Institute of Foundation Model (IFM) at MBZUAI. At AllWorld, we are pioneering the development of the PAN (Physical, Agentic, and Networked) world models—the next-generation foundation models to unlock machine intelligence beyond lingual.  \n  \nOur mission is to tackle the fundamental challenges of world modeling and establish a new paradigm for next-generation machine reasoning. We are looking for passionate individuals who share our vision and are eager to push the boundaries of AI together. \n \nRole Overview \nWe’re looking for a Machine Learning Engineer focused on ML infrastructure and MLOps to design and operate the systems that power our research environment. You’ll build scalable, reliable, and observable cloud infrastructure, working closely with researchers to support data pipelines, experimentation, and evaluation workflows. \n\n\n","hostedUrl":"https://jobs.lever.co/ifm-us/f527ece9-8e42-4921-90c1-a1799f31bf4b","applyUrl":"https://jobs.lever.co/ifm-us/f527ece9-8e42-4921-90c1-a1799f31bf4b/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full-time","location":"Sunnyvale, CA","team":"Engineering","allLocations":["Sunnyvale, CA"]},"createdAt":1752817287843,"descriptionPlain":"About the Institute of Foundation Models\nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n \nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n \nThe Role \n \nWe're looking for a distributed ML infrastructure engineer to help extend and scale our training systems. You’ll work side-by-side with world-class researchers and engineers to: \n• Extend distributed training frameworks (e.g., DeepSpeed, FSDP, FairScale, Horovod) \n• Implement distributed optimizers from mathematical specs \n• Build robust config + launch systems across multi-node, multi-GPU clusters \n• Own experiment tracking, metrics logging, and job monitoring for external visibility \n• Improve training system reliability, maintainability, and performance \n• While much of the work will support large-scale pre-training, pre-training experience is not required. Strong infrastructure and systems experience is what we value most. \n \nKey Responsibilities \n \n• Distributed Framework Ownership – Extend or modify training frameworks (e.g., DeepSpeed, FSDP) to support new use cases and architectures. \n• Optimizer Implementation – Translate mathematical optimizer specs into distributed implementations. \n• Launch Config & Debugging – Create and debug multi-node launch scripts with flexible batch sizes, parallelism strategies, and hardware targets. \n• Metrics & Monitoring – Build systems for experiment tracking, job monitoring, and logging usable by collaborators and researchers. \n• Infra Engineering – Write production-quality code and tests for ML infra in PyTorch or JAX; ensure reliability and maintainability at scale. \n \nQualifications\nMust-Haves: \n• 5+ years of experience in ML systems, infra, or distributed training \n• Experience modifying distributed ML frameworks (e.g., DeepSpeed, FSDP, FairScale, Horovod) \n• Strong software engineering fundamentals (Python, systems design, testing) \n• Proven multi-node experience (e.g., Slurm, Kubernetes, Ray) and debugging skills (e.g., NCCL/GLOO) \n• Ability to implement algorithms across GPUs/nodes based on mathematical specs \n• Experience working on an ML platform/ infrastructure, and/or distributed inference optimization team \n• Experience with large-scale machine learning workloads (strong ML fundamentals) \n \nNice-to-Haves: \n• Exposure to mixed-precision training (e.g., bf16, fp8) with accuracy validation \n• Familiarity with performance profiling, kernel fusion, or memory optimization \n• Open-source contributions or published research (MLSys, ICML, NeurIPS) \n• CUDA or Triton kernel experience \n• Experience with large-scale pre-training  \n• Experience building custom training pipelines at scale and modifying them for custom needs \n• Deep familiarity with training infrastructure and performance tuning \n","description":"
    About the Institute of Foundation Models
    \n
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.
    \n
     
    \n
    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.
    \n
     
    \n
    The Role 
    \n
     
    \n
    We're looking for a distributed ML infrastructure engineer to help extend and scale our training systems. You’ll work side-by-side with world-class researchers and engineers to: 
    \n
    • Extend distributed training frameworks (e.g., DeepSpeed, FSDP, FairScale, Horovod) 
    \n
    • Implement distributed optimizers from mathematical specs 
    \n
    • Build robust config + launch systems across multi-node, multi-GPU clusters 
    \n
    • Own experiment tracking, metrics logging, and job monitoring for external visibility 
    \n
    • Improve training system reliability, maintainability, and performance 
    \n
    • While much of the work will support large-scale pre-training, pre-training experience is not required. Strong infrastructure and systems experience is what we value most. 
    \n
     
    \n
    Key Responsibilities 
    \n
     
    \n
    • Distributed Framework Ownership – Extend or modify training frameworks (e.g., DeepSpeed, FSDP) to support new use cases and architectures. 
    \n
    • Optimizer Implementation – Translate mathematical optimizer specs into distributed implementations. 
    \n
    • Launch Config & Debugging – Create and debug multi-node launch scripts with flexible batch sizes, parallelism strategies, and hardware targets. 
    \n
    • Metrics & Monitoring – Build systems for experiment tracking, job monitoring, and logging usable by collaborators and researchers. 
    \n
    • Infra Engineering – Write production-quality code and tests for ML infra in PyTorch or JAX; ensure reliability and maintainability at scale. 
    \n
     
    \n
    Qualifications
    \n
    Must-Haves: 
    \n
    • 5+ years of experience in ML systems, infra, or distributed training 
    \n
    • Experience modifying distributed ML frameworks (e.g., DeepSpeed, FSDP, FairScale, Horovod) 
    \n
    • Strong software engineering fundamentals (Python, systems design, testing) 
    \n
    • Proven multi-node experience (e.g., Slurm, Kubernetes, Ray) and debugging skills (e.g., NCCL/GLOO) 
    \n
    • Ability to implement algorithms across GPUs/nodes based on mathematical specs 
    \n
    • Experience working on an ML platform/ infrastructure, and/or distributed inference optimization team 
    \n
    • Experience with large-scale machine learning workloads (strong ML fundamentals) 
    \n
     
    \n
    Nice-to-Haves: 
    \n
    • Exposure to mixed-precision training (e.g., bf16, fp8) with accuracy validation 
    \n
    • Familiarity with performance profiling, kernel fusion, or memory optimization 
    \n
    • Open-source contributions or published research (MLSys, ICML, NeurIPS) 
    \n
    • CUDA or Triton kernel experience 
    \n
    • Experience with large-scale pre-training  
    \n
    • Experience building custom training pipelines at scale and modifying them for custom needs 
    \n
    • Deep familiarity with training infrastructure and performance tuning 
    ","id":"5edf0fd9-2f47-4f1f-bf12-a787ebf9934e","lists":[],"salaryRange":{"min":150000,"max":450000,"currency":"USD","interval":"per-year-salary"},"salaryDescription":"
     
    \n
    • Comprehensive medical, dental, and vision 
    \n
    • 401(k) program 
    \n
    • Generous PTO, sick leave, and holidays
    \n
    • Paid parental leave and family-friendly benefits
    \n
    • On-site amenities and perks: Complimentary lunch, gym access, and a short walk to the Sunnyvale Caltrain station
    ","salaryDescriptionPlain":" \n• Comprehensive medical, dental, and vision \n• 401(k) program \n• Generous PTO, sick leave, and holidays\n• Paid parental leave and family-friendly benefits\n• On-site amenities and perks: Complimentary lunch, gym access, and a short walk to the Sunnyvale Caltrain station\n","text":"Machine Learning Infrastructure Engineer","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"
    About the Institute of Foundation Models
    \n
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.
    \n
     
    \n
    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.
    \n
     
    \n
    The Role 
    \n
     
    \n
    We're looking for a distributed ML infrastructure engineer to help extend and scale our training systems. You’ll work side-by-side with world-class researchers and engineers to: 
    \n
    • Extend distributed training frameworks (e.g., DeepSpeed, FSDP, FairScale, Horovod) 
    \n
    • Implement distributed optimizers from mathematical specs 
    \n
    • Build robust config + launch systems across multi-node, multi-GPU clusters 
    \n
    • Own experiment tracking, metrics logging, and job monitoring for external visibility 
    \n
    • Improve training system reliability, maintainability, and performance 
    \n
    • While much of the work will support large-scale pre-training, pre-training experience is not required. Strong infrastructure and systems experience is what we value most. 
    \n
     
    \n
    Key Responsibilities 
    \n
     
    \n
    • Distributed Framework Ownership – Extend or modify training frameworks (e.g., DeepSpeed, FSDP) to support new use cases and architectures. 
    \n
    • Optimizer Implementation – Translate mathematical optimizer specs into distributed implementations. 
    \n
    • Launch Config & Debugging – Create and debug multi-node launch scripts with flexible batch sizes, parallelism strategies, and hardware targets. 
    \n
    • Metrics & Monitoring – Build systems for experiment tracking, job monitoring, and logging usable by collaborators and researchers. 
    \n
    • Infra Engineering – Write production-quality code and tests for ML infra in PyTorch or JAX; ensure reliability and maintainability at scale. 
    \n
     
    \n
    Qualifications
    \n
    Must-Haves: 
    \n
    • 5+ years of experience in ML systems, infra, or distributed training 
    \n
    • Experience modifying distributed ML frameworks (e.g., DeepSpeed, FSDP, FairScale, Horovod) 
    \n
    • Strong software engineering fundamentals (Python, systems design, testing) 
    \n
    • Proven multi-node experience (e.g., Slurm, Kubernetes, Ray) and debugging skills (e.g., NCCL/GLOO) 
    \n
    • Ability to implement algorithms across GPUs/nodes based on mathematical specs 
    \n
    • Experience working on an ML platform/ infrastructure, and/or distributed inference optimization team 
    \n
    • Experience with large-scale machine learning workloads (strong ML fundamentals) 
    \n
     
    \n
    Nice-to-Haves: 
    \n
    • Exposure to mixed-precision training (e.g., bf16, fp8) with accuracy validation 
    \n
    • Familiarity with performance profiling, kernel fusion, or memory optimization 
    \n
    • Open-source contributions or published research (MLSys, ICML, NeurIPS) 
    \n
    • CUDA or Triton kernel experience 
    \n
    • Experience with large-scale pre-training  
    \n
    • Experience building custom training pipelines at scale and modifying them for custom needs 
    \n
    • Deep familiarity with training infrastructure and performance tuning 
    ","descriptionBodyPlain":"About the Institute of Foundation Models\nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n \nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n \nThe Role \n \nWe're looking for a distributed ML infrastructure engineer to help extend and scale our training systems. You’ll work side-by-side with world-class researchers and engineers to: \n• Extend distributed training frameworks (e.g., DeepSpeed, FSDP, FairScale, Horovod) \n• Implement distributed optimizers from mathematical specs \n• Build robust config + launch systems across multi-node, multi-GPU clusters \n• Own experiment tracking, metrics logging, and job monitoring for external visibility \n• Improve training system reliability, maintainability, and performance \n• While much of the work will support large-scale pre-training, pre-training experience is not required. Strong infrastructure and systems experience is what we value most. \n \nKey Responsibilities \n \n• Distributed Framework Ownership – Extend or modify training frameworks (e.g., DeepSpeed, FSDP) to support new use cases and architectures. \n• Optimizer Implementation – Translate mathematical optimizer specs into distributed implementations. \n• Launch Config & Debugging – Create and debug multi-node launch scripts with flexible batch sizes, parallelism strategies, and hardware targets. \n• Metrics & Monitoring – Build systems for experiment tracking, job monitoring, and logging usable by collaborators and researchers. \n• Infra Engineering – Write production-quality code and tests for ML infra in PyTorch or JAX; ensure reliability and maintainability at scale. \n \nQualifications\nMust-Haves: \n• 5+ years of experience in ML systems, infra, or distributed training \n• Experience modifying distributed ML frameworks (e.g., DeepSpeed, FSDP, FairScale, Horovod) \n• Strong software engineering fundamentals (Python, systems design, testing) \n• Proven multi-node experience (e.g., Slurm, Kubernetes, Ray) and debugging skills (e.g., NCCL/GLOO) \n• Ability to implement algorithms across GPUs/nodes based on mathematical specs \n• Experience working on an ML platform/ infrastructure, and/or distributed inference optimization team \n• Experience with large-scale machine learning workloads (strong ML fundamentals) \n \nNice-to-Haves: \n• Exposure to mixed-precision training (e.g., bf16, fp8) with accuracy validation \n• Familiarity with performance profiling, kernel fusion, or memory optimization \n• Open-source contributions or published research (MLSys, ICML, NeurIPS) \n• CUDA or Triton kernel experience \n• Experience with large-scale pre-training  \n• Experience building custom training pipelines at scale and modifying them for custom needs \n• Deep familiarity with training infrastructure and performance tuning \n","hostedUrl":"https://jobs.lever.co/ifm-us/5edf0fd9-2f47-4f1f-bf12-a787ebf9934e","applyUrl":"https://jobs.lever.co/ifm-us/5edf0fd9-2f47-4f1f-bf12-a787ebf9934e/apply"},{"additionalPlain":"Benefits Include\n*Comprehensive medical, dental, and vision benefits \n *Bonus\n*401K Plan\n*Generous paid time off, sick leave and holidays\n*Paid Parental Leave\n*Employee Assistance Program\n*Life insurance and disability\n","additional":"
    \n
    Benefits Include
    \n
    *Comprehensive medical, dental, and vision benefits 
    \n
     *Bonus
    \n
    *401K Plan
    \n
    *Generous paid time off, sick leave and holidays
    \n
    *Paid Parental Leave
    \n
    *Employee Assistance Program
    \n
    *Life insurance and disability
    \n
    ","categories":{"commitment":"Full-time","location":"Sunnyvale, CA","team":"Operations","allLocations":["Sunnyvale, CA"]},"createdAt":1774906970477,"descriptionPlain":"About the Institute of Foundation Models\n \nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n \nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\nThe Role \nWe are seeking a Marketing Manager to develop and execute high-impact campaigns for IFM’s foundation models and research initiatives. Based in Sunnyvale, this role focuses on translating complex technical work into clear, compelling campaigns, content, and assets for developers, researchers, and the broader AI ecosystem. \nKey Responsibilities \nCampaigns & Launches \nPlan and execute integrated campaigns for model launches and key milestones  \n\n\n","description":"
    \n
    \n
    About the Institute of Foundation Models
    \n
     
    \n
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.
    \n
     
    \n
    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.
    \n

    The Role 

    \n
    \n
    \n

    We are seeking a Marketing Manager to develop and execute high-impact campaigns for IFM’s foundation models and research initiatives. Based in Sunnyvale, this role focuses on translating complex technical work into clear, compelling campaigns, content, and assets for developers, researchers, and the broader AI ecosystem. 

    \n
    \n
    \n

    Key Responsibilities 

    \n
    \n
    \n

    Campaigns & Launches 

    \n
    \n
    \n\n
    \n
    \n
    \n
    \n\n
    \n
    \n

    Content & Assets 

    \n
    \n
    \n\n
    \n
    \n\n
    \n
    \n

    Collaboration 

    \n
    \n
    \n\n
    \n
    \n\n
    \n
    \n

    Performance 

    \n
    \n
    \n\n
    \n
    \n\n
    \n
    \n

    Qualifications 

    \n
    \n
    \n\n
    \n
    \n\n
    \n
    \n\n
    \n
    \n\n
    \n
    \n\n
    \n
    ","id":"25a89c48-8427-48ba-b38d-cb643f953bc0","lists":[],"salaryRange":{"min":225000,"max":275000,"currency":"USD","interval":"per-year-salary"},"text":"Marketing Manager, Institute of Foundation Models (IFM)","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"
    \n
    \n
    About the Institute of Foundation Models
    \n
     
    \n
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.
    \n
     
    \n
    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.
    \n

    The Role 

    \n
    \n
    \n

    We are seeking a Marketing Manager to develop and execute high-impact campaigns for IFM’s foundation models and research initiatives. Based in Sunnyvale, this role focuses on translating complex technical work into clear, compelling campaigns, content, and assets for developers, researchers, and the broader AI ecosystem. 

    \n
    \n
    \n

    Key Responsibilities 

    \n
    \n
    \n

    Campaigns & Launches 

    \n
    \n
    \n\n
    \n
    \n
    \n
    \n\n
    \n
    \n

    Content & Assets 

    \n
    \n
    \n\n
    \n
    \n\n
    \n
    \n

    Collaboration 

    \n
    \n
    \n\n
    \n
    \n\n
    \n
    \n

    Performance 

    \n
    \n
    \n\n
    \n
    \n\n
    \n
    \n

    Qualifications 

    \n
    \n
    \n\n
    \n
    \n\n
    \n
    \n\n
    \n
    \n\n
    \n
    \n\n
    \n
    ","descriptionBodyPlain":"About the Institute of Foundation Models\n \nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n \nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\nThe Role \nWe are seeking a Marketing Manager to develop and execute high-impact campaigns for IFM’s foundation models and research initiatives. Based in Sunnyvale, this role focuses on translating complex technical work into clear, compelling campaigns, content, and assets for developers, researchers, and the broader AI ecosystem. \nKey Responsibilities \nCampaigns & Launches \nPlan and execute integrated campaigns for model launches and key milestones  \n\n\n","hostedUrl":"https://jobs.lever.co/ifm-us/25a89c48-8427-48ba-b38d-cb643f953bc0","applyUrl":"https://jobs.lever.co/ifm-us/25a89c48-8427-48ba-b38d-cb643f953bc0/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full-time","location":"Abu Dhabi","team":"Product","allLocations":["Abu Dhabi"]},"createdAt":1770977985864,"descriptionPlain":"The Institute of Foundation Models (IFM) is seeking a Project Manager to oversee product and lab priorities in Abu Dhabi and help drive execution across research, product, and community initiatives.\n\nThis role focuses on orchestrating work rather than owning a single function: turning priorities into clear plans, keeping teams aligned, and ensuring follow-through on the tasks that move our models and products forward. A core part of this is coordinating model launches end to end – ensuring that research, engineering, product, marketing, and communications are aligned and ready when a model goes live.\n\nThe ideal candidate is structured, proactive, and comfortable working in a flat organization where everyone takes ownership and is willing to roll up their sleeves.\n\n\n\nKey Responsibilities\n","description":"
    The Institute of Foundation Models (IFM) is seeking a Project Manager to oversee product and lab priorities in Abu Dhabi and help drive execution across research, product, and community initiatives.

    This role focuses on orchestrating work rather than owning a single function: turning priorities into clear plans, keeping teams aligned, and ensuring follow-through on the tasks that move our models and products forward. A core part of this is coordinating model launches end to end – ensuring that research, engineering, product, marketing, and communications are aligned and ready when a model goes live.

    The ideal candidate is structured, proactive, and comfortable working in a flat organization where everyone takes ownership and is willing to roll up their sleeves.



    Key Responsibilities
    ","id":"34da73b2-a874-4210-ad40-4be6aa2e937a","lists":[{"text":"Product & Project Orchestration","content":"
  • Work with Research, Engineering and Product teams to translate high-level priorities into clear project plans, milestones, and timelines.
  • Maintain an up-to-date view of product roadmaps for the Abu Dhabi lab, highlighting dependencies, risks, and decision points.
  • Coordinate implementation for selected products or features, ensuring that requirements, designs, and technical work stay aligned.
  • Facilitate regular check-ins (standups, sprint reviews, planning sessions) to keep projects on track and unblock teams.
  • Ensure that key decisions, action items, and next steps are clearly captured and followed through.
    • "},{"text":"Model Launch Coordination","content":"
  • Own the end-to-end coordination of model launches (e.g., K2, JAIS, PAN): from research-to-production handoff through public release and post-launch follow-up.
  • Work with Research and Engineering to track readiness milestones, resolve blockers, and ensure documentation and technical artifacts are in place before launch.
  • Coordinate launch timelines and dependencies across Product, Engineering, Legal, and Marketing to ensure all teams are aligned and nothing slips through the cracks.
  • Support operational readiness for launches, pilots, and external partnerships – ensuring the right assets, environments, and approvals are in place.
  • Run launch retrospectives to capture lessons learned and improve the process for future releases.
    • "},{"text":"Marketing & Communications Liaison","content":"
  • Serve as the coordination point between technical teams and Marketing/Communications (MarComms) for model launches, announcements, and external messaging.
  • Ensure MarComms has timely access to technical details, key milestones, and positioning inputs needed to prepare launch materials, blog posts, and demos.
  • Coordinate lab contributions to external events, conferences, and partner briefings – helping position IFM’s work effectively to outside audiences.
  • Work with the Community team to ensure Abu Dhabi lab priorities are reflected in hackathons, workshops, open days, and partner programs.
    • "},{"text":"Lab Operations & Cross-Team Coordination","content":"
  • Serve as a coordination point for the Abu Dhabi lab: aligning work across engineering, product, community, and operations.
  • Help prioritize lab initiatives and manage trade-offs when competing priorities arise.
  • Coordinate with other IFM sites (e.g., international labs) to synchronize timelines, share status, and reduce duplication.
  • Maintain lightweight but reliable processes and tools for tracking work, while keeping bureaucracy low.
    • "},{"text":"Execution, Tracking & Reporting","content":"
  • Set up simple, transparent mechanisms to track progress on key initiatives.
  • Prepare concise status updates for leadership and stakeholders, highlighting progress, risks, and decisions needed.
  • Proactively identify blockers and drive them to resolution by pulling in the right people – not by escalating everything.
  • Help the team continuously improve how it works: refine processes, simplify where possible, and share best practices across projects.
    • "},{"text":"Essential Experience","content":"
  • 3–6 years of experience in project management, program management, product operations, or closely related roles in a technology, research, or product-building environment.
  • Proven track record of running cross-functional projects end to end: from clarifying goals and scope, to planning, to execution and follow-through.
  • Strong organizational skills with the ability to manage multiple parallel workstreams, priorities, and stakeholders.
  • Comfortable working with technical teams (researchers, engineers, product) and understanding basic technical concepts well enough to manage timelines, dependencies, and risks.
  • Clear and concise communicator, able to summarize complex work into simple updates for different audiences (leadership, partners, internal teams).
  • Demonstrated ability to work in a flat, fast-moving environment – taking ownership, adapting to changing priorities, and doing what is needed to keep work moving.
    • "},{"text":"Preferred Experience","content":"
  • Experience in AI/ML, deep-tech, or research lab environments where projects involve both exploration and delivery.
  • Experience coordinating product or model launches – including cross-functional readiness, external communications, and post-launch follow-up.
  • Familiarity with product development lifecycles (from discovery and prototyping to launch and iteration).
  • Exposure to foundation models, large-scale AI systems, or similar technologies (formal expertise not required, but curiosity and willingness to learn are important).
  • Comfort working across technical and non-technical audiences, including marketing, communications, and executive stakeholders.
    • "},{"text":"Academic Qualifications","content":"
  • Bachelor’s degree in Computer Science, Software Engineering, or a related field preferred.
    • "}],"text":"Project Manager","country":"AE","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"
    The Institute of Foundation Models (IFM) is seeking a Project Manager to oversee product and lab priorities in Abu Dhabi and help drive execution across research, product, and community initiatives.

    This role focuses on orchestrating work rather than owning a single function: turning priorities into clear plans, keeping teams aligned, and ensuring follow-through on the tasks that move our models and products forward. A core part of this is coordinating model launches end to end – ensuring that research, engineering, product, marketing, and communications are aligned and ready when a model goes live.

    The ideal candidate is structured, proactive, and comfortable working in a flat organization where everyone takes ownership and is willing to roll up their sleeves.



    Key Responsibilities
    ","descriptionBodyPlain":"The Institute of Foundation Models (IFM) is seeking a Project Manager to oversee product and lab priorities in Abu Dhabi and help drive execution across research, product, and community initiatives.\n\nThis role focuses on orchestrating work rather than owning a single function: turning priorities into clear plans, keeping teams aligned, and ensuring follow-through on the tasks that move our models and products forward. A core part of this is coordinating model launches end to end – ensuring that research, engineering, product, marketing, and communications are aligned and ready when a model goes live.\n\nThe ideal candidate is structured, proactive, and comfortable working in a flat organization where everyone takes ownership and is willing to roll up their sleeves.\n\n\n\nKey Responsibilities\n","hostedUrl":"https://jobs.lever.co/ifm-us/34da73b2-a874-4210-ad40-4be6aa2e937a","applyUrl":"https://jobs.lever.co/ifm-us/34da73b2-a874-4210-ad40-4be6aa2e937a/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full-time","location":"Abu Dhabi","team":"Engineering","allLocations":["Abu Dhabi"]},"createdAt":1771352362494,"descriptionPlain":"The Institute of Foundation Models (IFM) at MBZUAI is building and operating large-scale GPU clusters supporting cutting-edge AI model training and research. We are seeking a highly organized and execution-oriented Project Manager to support the HPC function.\n\nThis role will work closely with the HPC Lead to drive infrastructure projects end-to-end — coordinating vendors, internal university departments (IT, procurement, compliance, finance), and research stakeholders — while ensuring documentation, governance, and delivery tracking are properly maintained.\n\n\nKey Responsibilities\n","description":"
    The Institute of Foundation Models (IFM) at MBZUAI is building and operating large-scale GPU clusters supporting cutting-edge AI model training and research. We are seeking a highly organized and execution-oriented Project Manager to support the HPC function.

    This role will work closely with the HPC Lead to drive infrastructure projects end-to-end — coordinating vendors, internal university departments (IT, procurement, compliance, finance), and research stakeholders — while ensuring documentation, governance, and delivery tracking are properly maintained.


    Key Responsibilities
    ","id":"2beae2fc-9595-4c71-87b2-2f8767ea72b3","lists":[{"text":"HPC Project Execution & Coordination","content":"
  • Support planning and delivery of HPC infrastructure projects (GPU clusters, storage, networking, upgrades).
  • Coordinate with external vendors (hardware providers, cloud partners, data center operators).
  • Track project milestones, risks, dependencies, and timelines.
  • Maintain project plans, logs, and status reports.
  • Organize and document project meetings and action items.
    • "},{"text":"Cluster Portfolio Tracking & IFM Project Support","content":"
  • Maintain structured visibility of all major workloads and projects running on IFM clusters.
  • Track cluster allocation, major initiatives, and priority programs supported by HPC.
  • Build and maintain strong working relationships with IFM research teams and project owners.
  • Act as a coordination bridge to ensure key IFM projects receive proper infrastructure support.
  • Proactively identify risks impacting critical research timelines and escalate where needed.
    • "},{"text":"Cross-Department Coordination","content":"
  • Act as liaison between HPC team and University IT, Procurement, Finance, Legal, Compliance, and HR.
  • Ensure requirements are clearly documented and aligned across stakeholders.
  • Proactively follow up to remove blockers and maintain project momentum.
    • "},{"text":"Documentation & Governance","content":"
  • Maintain structured documentation of cluster specifications, contracts, SLAs, and change logs.
  • Support governance processes (SteerCo tracking, review cadences).
  • Assist with audit preparation and documentation consolidation.
    • "},{"text":"Compliance & Management Support","content":"
  • Assist with export control governance tracking and vendor compliance.
  • Support access control and user approval coordination with IT.
  • Track risk mitigation and regulatory documentation requirements
    • "},{"text":"Reporting & Executive Communication","content":"
  • Prepare concise leadership updates and executive summaries.
  • Develop slide decks and structured status reports.
  • Maintain dashboards for project status, budget tracking, and vendor performance.
    • "},{"text":"Educational Qualifications","content":"
  • Bachelor’s degree in Engineering, Computer Science, Information Systems, Business, or a related field (required).
  • Master’s degree (MBA, Engineering, Technology Management, or related discipline) preferred.
    • "},{"text":"Required Experience","content":"
  • 5+ years of experience in Project Management.
  • Experience in technical or infrastructure projects.
  • Strong organizational and documentation skills.
  • Excellent written and verbal communication skills.
  • Ability to work cross-functionally in a complex organization.
    • "}],"text":"Project Manager – High Performance Computing (HPC)","country":"AE","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"
    The Institute of Foundation Models (IFM) at MBZUAI is building and operating large-scale GPU clusters supporting cutting-edge AI model training and research. We are seeking a highly organized and execution-oriented Project Manager to support the HPC function.

    This role will work closely with the HPC Lead to drive infrastructure projects end-to-end — coordinating vendors, internal university departments (IT, procurement, compliance, finance), and research stakeholders — while ensuring documentation, governance, and delivery tracking are properly maintained.


    Key Responsibilities
    ","descriptionBodyPlain":"The Institute of Foundation Models (IFM) at MBZUAI is building and operating large-scale GPU clusters supporting cutting-edge AI model training and research. We are seeking a highly organized and execution-oriented Project Manager to support the HPC function.\n\nThis role will work closely with the HPC Lead to drive infrastructure projects end-to-end — coordinating vendors, internal university departments (IT, procurement, compliance, finance), and research stakeholders — while ensuring documentation, governance, and delivery tracking are properly maintained.\n\n\nKey Responsibilities\n","hostedUrl":"https://jobs.lever.co/ifm-us/2beae2fc-9595-4c71-87b2-2f8767ea72b3","applyUrl":"https://jobs.lever.co/ifm-us/2beae2fc-9595-4c71-87b2-2f8767ea72b3/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full-time","location":"Abu Dhabi","team":"Engineering","allLocations":["Abu Dhabi"]},"createdAt":1751461265591,"descriptionPlain":"About the Institute of Foundation Models\nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n\nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n\n\n\nThe Role\nAs a Research Scientist specializing in Natural Language Processing (NLP) with a focus on large language models and deep learning, your role will be crucial in advancing cutting-edge language processing technologies and contributing to the development of intelligent systems. You will be responsible for a wide range of tasks encompassing research, development, and implementation of NLP solutions, with a particular emphasis on Python coding, machine learning techniques, and deep learning methodologies.\n","description":"
    About the Institute of Foundation Models
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.



    The Role
    As a Research Scientist specializing in Natural Language Processing (NLP) with a focus on large language models and deep learning, your role will be crucial in advancing cutting-edge language processing technologies and contributing to the development of intelligent systems. You will be responsible for a wide range of tasks encompassing research, development, and implementation of NLP solutions, with a particular emphasis on Python coding, machine learning techniques, and deep learning methodologies.
    ","id":"1b258c12-5942-4487-9c92-fd4d18e40c6a","lists":[{"text":"Key Responsibilities","content":"
  • Lead the research of technology for improving the efficiency of Large Language Model (LLM) while performing target capabilities or supporting many capabilities, such as novel architectures and improved pre-training.
  • Design and implement NLP algorithms for model training and prediction, leverage ML infrastructure, and contribute to model optimization and data processing, using Pytorch or other frameworks.
  • Integrate and improve LLM algorithms to work with other models such as computer vision models
  • Identify defined problems/gaps in existing technology and engage other Research teams, stakeholders and leaders to expand efficient LLM technology.
  • Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies.
  • Write up results in design documents, technical reports, and papers for publication.
  • Represent MBZUAI at industry conferences and events, showcasing the institution’s cutting-edge HPC and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation.
  • Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives.
    • "},{"text":"Academic Qualifications","content":"
  • Minimum: Master’s in Computer Science, a related technical field, or equivalent practical experience
  • Preferred: PhD or equivalent research experience in Natural Language Processing
    • "},{"text":"Professional Experience - Minimum","content":"
  • Experience with state-of-the-art Gen AI techniques and models (e.g., LLMs, Multi-Modal, Large Vision Models) or with Gen AI-related concepts (e.g., language modeling, computer vision).
  • Experience with software development in one or more programming languages (e.g. Python, C++), and with data structures/algorithms.
  • Excellent problem-solving and troubleshooting skills to address complex technical challenges.
  • Effective communication and collaboration skills to work with cross functional teams.
  • Ability to effectively navigate ambiguity.
    • "},{"text":"Professional Experience - Preferred","content":"
  • Experience leading research efforts and influencing other researchers.
  • Experience with efficiency, modularity or related topics for LLMs.
  • Experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
  • Experience with design and optimization of algorithms in performance constrained environments (e.g., mobile).
  • Experience in innovative research, contributing to research communities including publishing in forums (e.g., ACL, EMNLP, NAACL, EACL, COLING, ICLR, AAAI, NeurIPS).
    • "}],"text":"Research Engineer - NLP","country":"AE","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"
    About the Institute of Foundation Models
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.



    The Role
    As a Research Scientist specializing in Natural Language Processing (NLP) with a focus on large language models and deep learning, your role will be crucial in advancing cutting-edge language processing technologies and contributing to the development of intelligent systems. You will be responsible for a wide range of tasks encompassing research, development, and implementation of NLP solutions, with a particular emphasis on Python coding, machine learning techniques, and deep learning methodologies.
    ","descriptionBodyPlain":"About the Institute of Foundation Models\nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n\nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n\n\n\nThe Role\nAs a Research Scientist specializing in Natural Language Processing (NLP) with a focus on large language models and deep learning, your role will be crucial in advancing cutting-edge language processing technologies and contributing to the development of intelligent systems. You will be responsible for a wide range of tasks encompassing research, development, and implementation of NLP solutions, with a particular emphasis on Python coding, machine learning techniques, and deep learning methodologies.\n","hostedUrl":"https://jobs.lever.co/ifm-us/1b258c12-5942-4487-9c92-fd4d18e40c6a","applyUrl":"https://jobs.lever.co/ifm-us/1b258c12-5942-4487-9c92-fd4d18e40c6a/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full-time","location":"Paris","team":"Engineering","allLocations":["Paris"]},"createdAt":1767080862986,"descriptionPlain":"About the Institute of Foundation Models\n\nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. \n\nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n\nThe Role\n\nAs a Research Engineer specializing in speech/audio machine learning, you will bridge the gap between research and production constraints to deliver competitive performance. You will be responsible for the end-to-end performance of our machine learning speech systems, from architecting scalable training infrastructure to achieving extreme low-latency inference.\n","description":"
    About the Institute of Foundation Models

    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.

    The Role

    As a Research Engineer specializing in speech/audio machine learning, you will bridge the gap between research and production constraints to deliver competitive performance. You will be responsible for the end-to-end performance of our machine learning speech systems, from architecting scalable training infrastructure to achieving extreme low-latency inference.
    ","id":"d30041a0-d4f8-459a-a072-e4fc64c6d8cc","lists":[{"text":"Key responsibilities","content":"
  • Compute Optimization: Optimize model compute graphs for target runtimes using frameworks such as TensorRT, Apache TVM, or OpenVINO. 
  • Model Compression: Perform quantization (INT8/FP8) and pruning to enable real-time execution on edge or cloud GPUs. 
  • Data Orchestration: Build reliable data pipelines for audio datasets, including automated denoising and synthetic data augmentation. 
  • Distributed Training: Help design efficient multi-node training scripts using frameworks such as DeepSpeed, Horovod, as well as other distributed training technologies.
  • Deployment: Build and maintain high-performance demo environments on the cloud using Docker and standalone model serving frameworks. Integrate WebRTC or similar bidirectional protocols to ensure seamless, real-time audio-to-audio interactions.
    • "},{"text":"Qualifications","content":"
  • MSc or BSc in Computer Science or Software Engineering. 
  • Engineering Excellence: Strong background in Systems Programming and Computer Architecture. 
    • "}],"text":"Research Engineer - Speech/Audio Machine Learning","country":"FR","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"
    About the Institute of Foundation Models

    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.

    The Role

    As a Research Engineer specializing in speech/audio machine learning, you will bridge the gap between research and production constraints to deliver competitive performance. You will be responsible for the end-to-end performance of our machine learning speech systems, from architecting scalable training infrastructure to achieving extreme low-latency inference.
    ","descriptionBodyPlain":"About the Institute of Foundation Models\n\nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. \n\nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n\nThe Role\n\nAs a Research Engineer specializing in speech/audio machine learning, you will bridge the gap between research and production constraints to deliver competitive performance. You will be responsible for the end-to-end performance of our machine learning speech systems, from architecting scalable training infrastructure to achieving extreme low-latency inference.\n","hostedUrl":"https://jobs.lever.co/ifm-us/d30041a0-d4f8-459a-a072-e4fc64c6d8cc","applyUrl":"https://jobs.lever.co/ifm-us/d30041a0-d4f8-459a-a072-e4fc64c6d8cc/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full-time","location":"Sunnyvale, CA","team":"Engineering","allLocations":["Sunnyvale, CA"]},"createdAt":1777330212035,"descriptionPlain":"","description":"
    \n

    About the Institute of Foundation Models

    \n
    \n

    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

    \n

     

    \n

    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.

    \n

    \n

    The Role

    \n

    As a member of the Diffusion LLM Team at MBZUAI, you will play a central role in designing, building, and releasing industrial-scale Diffusion Large Language Models. Our team has two core missions. First, we develop and release diffusion-based LLMs that push the speed–quality frontier at scale by matching autoregressive model quality while enabling faster generation. Second, we improve inference-time scaling relative to standard LLMs, so that additional test-time compute translates into higher-quality samples. 

    \n

    You will work closely with researchers and engineers across architecture, training, and infrastructure to turn research ideas into high-impact model releases for next-generation LLMs.

    \n

    \n

    Key Responsibilities

    \n\n
    \n

    Academic Qualifications

    \n

    MSc or PhD in Machine Learning or Computer Science, or equivalent industry experience.

    \n

    \n

    Professional Experience

    \n\n
    ","id":"00c6696f-ae36-46b4-9efa-8c1fba3bfa77","lists":[],"text":"Research Engineer - The Diffusion LLM Team","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"
    \n

    About the Institute of Foundation Models

    \n
    \n

    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

    \n

     

    \n

    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.

    \n

    \n

    The Role

    \n

    As a member of the Diffusion LLM Team at MBZUAI, you will play a central role in designing, building, and releasing industrial-scale Diffusion Large Language Models. Our team has two core missions. First, we develop and release diffusion-based LLMs that push the speed–quality frontier at scale by matching autoregressive model quality while enabling faster generation. Second, we improve inference-time scaling relative to standard LLMs, so that additional test-time compute translates into higher-quality samples. 

    \n

    You will work closely with researchers and engineers across architecture, training, and infrastructure to turn research ideas into high-impact model releases for next-generation LLMs.

    \n

    \n

    Key Responsibilities

    \n\n
    \n

    Academic Qualifications

    \n

    MSc or PhD in Machine Learning or Computer Science, or equivalent industry experience.

    \n

    \n

    Professional Experience

    \n\n
    ","descriptionBodyPlain":"","hostedUrl":"https://jobs.lever.co/ifm-us/00c6696f-ae36-46b4-9efa-8c1fba3bfa77","applyUrl":"https://jobs.lever.co/ifm-us/00c6696f-ae36-46b4-9efa-8c1fba3bfa77/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full-time","location":"Abu Dhabi","team":"Engineering","allLocations":["Abu Dhabi"]},"createdAt":1752127145116,"descriptionPlain":"About the Institute of Foundation Models\n \nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n \nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n \nThe Role\n\nAs a Research Engineer with the World Model Team, you'll help drive the development of PAN (Physical, Agentic, and Networked) world models — next-generation foundation models designed to push machine intelligence beyond language and into the realm of embodied, contextual reasoning. You'll tackle core technical challenges in world modeling and collaborate closely with a multidisciplinary team of researchers and engineers. We are looking for passionate individuals who share our vision and are eager to push the boundaries of AI together. \n","description":"
    About the Institute of Foundation Models
     
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.
     
    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.
     
    The Role

    As a Research Engineer with the World Model Team, you'll help drive the development of PAN (Physical, Agentic, and Networked) world models — next-generation foundation models designed to push machine intelligence beyond language and into the realm of embodied, contextual reasoning. You'll tackle core technical challenges in world modeling and collaborate closely with a multidisciplinary team of researchers and engineers. We are looking for passionate individuals who share our vision and are eager to push the boundaries of AI together. 
    ","id":"7ac9e2ae-7ad2-439f-ba8f-7934a00af1ad","lists":[{"text":"Key Responsibilities","content":"
  • Design, implement, and maintain scalable video data pipelines to support large-scale training.
  • Develop data preprocessing, transformation, and synthesis workflows to support world model training.
  • Contribute to building high-quality data annotation pipelines to ensure accurate and consistent labels across large-scale datasets.
  • Support the training of multimodal foundation models (e.g., video diffusion models, world models) by developing and optimizing distributed training systems.
  • Improve inference and serving efficiency for real-time interaction through model optimization and system tuning.
  • Monitor system health and performance and contribute to debugging and optimization at scale.
  • Work closely with research teams to understand experimental goals and translate ideas into reliable and maintainable infrastructure and tools.
  • Integrate novel research prototypes into production-ready systems and ensure reproducibility at scale.
  • Participate in design and code reviews, ensuring code quality, efficiency, and compliance with best practices.
  • Contribute to the development of tools and infrastructure to evaluate model performance using rigorous quantitative benchmarks, including metrics for physical accuracy and controllability.
  • Maintain and extend shared codebases, contribute to internal documentation, and support onboarding of new team members or collaborators.
  • Write clean, efficient, and well-tested code for components across the model development lifecycle.
  • Support contributions to research papers and demos when engineering work plays a significant role.
  • Help represent the team’s engineering excellence in internal and external forums when appropriate.
    • "},{"text":"Academic Qualifications","content":"
  • MSc or PhD in Machine Learning or Computer Science, or equivalent industry experience.
    • "},{"text":"Professional Experience - Required","content":"
  • Proficient in data collection, cleaning, and transformation at scale, including designing robust pipelines for multimodal datasets (e.g., video, audio, text).
  • Practical experience with web scraping and crawling frameworks (e.g., scrapy, selenium, playwright, BeautifulSoup) to collect and curate high-quality web-scale datasets.
  • Experience in large-scale model training (LLMs or Diffusion Models) on large clusters.
  • Hands-on experience with state-of-the-art video generative models (e.g., Sora, Veo2, MovieGen, CogVideoX, etc.).
  • Experiences in building and optimizing large-scale video data pipelines.
  • Experience in accelerating diffusion model inference for improved efficiency.
  • Exceptional problem-solving and troubleshooting skills to tackle complex technical challenges.
  • Strong systems and engineering expertise in deep learning frameworks such as PyTorch.
  • Strong communication and collaboration skills for effective cross-functional teamwork.
  • Demonstrated ability to solve complex system-level challenges and debug failures across the training/inference stack (e.g., memory issues, deadlocks, I/O bottlenecks).
    • "}],"text":"Research Engineer – World Modeling","country":"AE","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"
    About the Institute of Foundation Models
     
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.
     
    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.
     
    The Role

    As a Research Engineer with the World Model Team, you'll help drive the development of PAN (Physical, Agentic, and Networked) world models — next-generation foundation models designed to push machine intelligence beyond language and into the realm of embodied, contextual reasoning. You'll tackle core technical challenges in world modeling and collaborate closely with a multidisciplinary team of researchers and engineers. We are looking for passionate individuals who share our vision and are eager to push the boundaries of AI together. 
    ","descriptionBodyPlain":"About the Institute of Foundation Models\n \nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n \nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n \nThe Role\n\nAs a Research Engineer with the World Model Team, you'll help drive the development of PAN (Physical, Agentic, and Networked) world models — next-generation foundation models designed to push machine intelligence beyond language and into the realm of embodied, contextual reasoning. You'll tackle core technical challenges in world modeling and collaborate closely with a multidisciplinary team of researchers and engineers. We are looking for passionate individuals who share our vision and are eager to push the boundaries of AI together. \n","hostedUrl":"https://jobs.lever.co/ifm-us/7ac9e2ae-7ad2-439f-ba8f-7934a00af1ad","applyUrl":"https://jobs.lever.co/ifm-us/7ac9e2ae-7ad2-439f-ba8f-7934a00af1ad/apply"},{"additionalPlain":"Visa Sponsorship\nThis position is eligible for visa sponsorship.\n\nBenefits Include\n*Comprehensive medical, dental, and vision benefits \n *Bonus\n*401K Plan\n*Generous paid time off, sick leave and holidays\n*Paid Parental Leave\n*Employee Assistance Program\n*Life insurance and disability\n\n\n","additional":"
    Visa Sponsorship
    This position is eligible for visa sponsorship.

    Benefits Include
    *Comprehensive medical, dental, and vision benefits 
     *Bonus
    *401K Plan
    *Generous paid time off, sick leave and holidays
    *Paid Parental Leave
    *Employee Assistance Program
    *Life insurance and disability


    ","categories":{"commitment":"Full-time","location":"Sunnyvale, CA","team":"Research","allLocations":["Sunnyvale, CA"]},"createdAt":1746128169456,"descriptionPlain":"About the Institute of Foundation Models\nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n\nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n\n\n\n\nThe Role\n \nAs a Research Scientist with a focus on data-centric large language model (LLM) development, your role will center on advancing the frontiers of how LLMs reason, retrieve, and interact with external information sources. You will proactively identify, collect, and organize datasets that enable LLMs to perform complex reasoning tasks, while also developing scalable systems and tooling that integrate cutting-edge research with robust engineering. Your work will have a direct impact on the performance and reliability of intelligent systems at MBZUAI IFM.\n","description":"
    About the Institute of Foundation Models
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.



    The Role
    \n
     
    \n
    As a Research Scientist with a focus on data-centric large language model (LLM) development, your role will center on advancing the frontiers of how LLMs reason, retrieve, and interact with external information sources. You will proactively identify, collect, and organize datasets that enable LLMs to perform complex reasoning tasks, while also developing scalable systems and tooling that integrate cutting-edge research with robust engineering. Your work will have a direct impact on the performance and reliability of intelligent systems at MBZUAI IFM.
    ","id":"057d2c3a-c17f-40f7-ac45-b1148f56c7f7","lists":[{"text":"Key Responsibilities","content":"\n
  • Lead research and implementation of reasoning-enhanced LLM capabilities through novel data collection, architecture design, and system integration.
    • \n
  • Design and implement pipelines to collect, curate, and structure open-source and web-scale data relevant to reasoning tasks, ensuring scalability and reproducibility.
    • \n
  • Build robust software to support fine-tuning, evaluation, and deployment of LLMs that interact with structured and unstructured knowledge bases.
    • \n
  • Collaborate with ML researchers to create, test, and evaluate new approaches in information retrieval, agentic search, and RAG (retrieval-augmented generation) pipelines.
    • \n
  • Rapidly prototype tools, APIs, and infrastructure for enabling LLMs to reason over external information, and build datasets for identifying and analyzing LLM failure modes.
    • \n
  • Communicate research findings in internal documents and external publications (e.g., top-tier conferences like ACL, ICLR, NeurIPS).
    • \n
  • Contribute to design/code reviews and foster engineering best practices in a high-performance research environment.
    • \n
  • Represent MBZUAI at conferences and forums, promoting institutional leadership in safe, efficient, and high-impact AI systems.
    • \n
  • Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives.
    • \n"},{"text":"Academic Qualifications","content":"\n
  • Master’s in Computer Science, Data Science, or a related technical field, or equivalent practical experience required.
    • \n
  • PhD or equivalent research experience in Machine Learning, NLP, or Data Science with a focus on reasoning and LLMs preferred.
    • \n"},{"text":"Minimum Professional Experience","content":"\n
  • Experience working with large language models, including fine-tuning, prompt engineering, and multi-modal interaction.
    • \n
  • Strong Python development skills with a focus on research-grade code and scalable data pipelines.
    • \n
  • Familiarity with collecting and processing large-scale datasets from open-source and web resources.
    • \n
  • Demonstrated ability to work with ML infrastructure (e.g., model evaluation, optimization, debugging).
    • \n
  • Proactive mindset with the ability to identify impactful research questions and execute on them with minimal supervision.
    • \n
  • Effective communication and collaboration skills for working in cross-functional teams.
    • \n"},{"text":"Preferred Professional Experience","content":"\n
  • Experience designing and deploying agentic LLM systems, reasoning benchmarks, or RAG pipelines.
    • \n
  • Background in building complex knowledge retrieval systems (e.g., knowledge graphs, semantic search, indexing).
    • \n
  • Strong publication record in leading AI conferences (e.g., ICLR, ACL, NeurIPS, EMNLP).
    • \n
  • Familiarity with performance constraints in production environments and the trade-offs in model and data design.
    • \n
  • Prior contributions to open-source ML research or data tools.
    • \n"}],"salaryRange":{"min":150000,"max":450000,"currency":"USD","interval":"per-year-salary"},"text":"Research Scientist","country":"US","workplaceType":"onsite","opening":"
    About the Institute of Foundation Models
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.


    ","openingPlain":"About the Institute of Foundation Models\nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n\nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n\n\n","descriptionBody":"
    The Role
    \n
     
    \n
    As a Research Scientist with a focus on data-centric large language model (LLM) development, your role will center on advancing the frontiers of how LLMs reason, retrieve, and interact with external information sources. You will proactively identify, collect, and organize datasets that enable LLMs to perform complex reasoning tasks, while also developing scalable systems and tooling that integrate cutting-edge research with robust engineering. Your work will have a direct impact on the performance and reliability of intelligent systems at MBZUAI IFM.
    ","descriptionBodyPlain":"The Role\n \nAs a Research Scientist with a focus on data-centric large language model (LLM) development, your role will center on advancing the frontiers of how LLMs reason, retrieve, and interact with external information sources. You will proactively identify, collect, and organize datasets that enable LLMs to perform complex reasoning tasks, while also developing scalable systems and tooling that integrate cutting-edge research with robust engineering. Your work will have a direct impact on the performance and reliability of intelligent systems at MBZUAI IFM.\n","hostedUrl":"https://jobs.lever.co/ifm-us/057d2c3a-c17f-40f7-ac45-b1148f56c7f7","applyUrl":"https://jobs.lever.co/ifm-us/057d2c3a-c17f-40f7-ac45-b1148f56c7f7/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full-time","location":"Abu Dhabi","team":"Research","allLocations":["Abu Dhabi"]},"createdAt":1751460865853,"descriptionPlain":"About the Institute of Foundation Models\nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n\nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n\n\n\nThe Role\n\nAs a Research Scientist with a focus on data-centric large language model (LLM) development, your role will center on advancing the frontiers of how LLMs reason, retrieve, and interact with external information sources. You will proactively identify, collect, and organize datasets that enable LLMs to perform complex reasoning tasks, while also developing scalable systems and tooling that integrate cutting-edge research with robust engineering. Your work will have a direct impact on the performance and reliability of intelligent systems at MBZUAI IFM.\n","description":"
    About the Institute of Foundation Models
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.



    The Role

    As a Research Scientist with a focus on data-centric large language model (LLM) development, your role will center on advancing the frontiers of how LLMs reason, retrieve, and interact with external information sources. You will proactively identify, collect, and organize datasets that enable LLMs to perform complex reasoning tasks, while also developing scalable systems and tooling that integrate cutting-edge research with robust engineering. Your work will have a direct impact on the performance and reliability of intelligent systems at MBZUAI IFM.
    ","id":"4b367c0c-c1a5-4c3b-b637-5eb9e47a9bcb","lists":[{"text":"Key Responsibilities","content":"
  • Lead research and implementation of reasoning-enhanced LLM capabilities through novel data collection, architecture design, and system integration.
  • Design and implement pipelines to collect, curate, and structure open-source and web-scale data relevant to reasoning tasks, ensuring scalability and reproducibility.
  • Build robust software to support fine-tuning, evaluation, and deployment of LLMs that interact with structured and unstructured knowledge bases.
  • Collaborate with ML researchers to create, test, and evaluate new approaches in information retrieval, agentic search, and RAG (retrieval-augmented generation) pipelines.
  • Rapidly prototype tools, APIs, and infrastructure for enabling LLMs to reason over external information, and build datasets for identifying and analyzing LLM failure modes.
  • Communicate research findings in internal documents and external publications (e.g., top-tier conferences like ACL, ICLR, NeurIPS).
  • Contribute to design/code reviews and foster engineering best practices in a high-performance research environment.
  • Represent MBZUAI at conferences and forums, promoting institutional leadership in safe, efficient, and high-impact AI systems.
  • Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives.
    • "},{"text":"Academic Qualifications","content":"
  • Master’s in Computer Science, Data Science, or a related technical field, or equivalent practical experience required.
  • PhD or equivalent research experience in Machine Learning, NLP, or Data Science with a focus on reasoning and LLMs preferred.
    • "},{"text":"Minimum Professional Experience","content":"
  • Experience working with large language models, including fine-tuning, prompt engineering, and multi-modal interaction.
  • Strong Python development skills with a focus on research-grade code and scalable data pipelines.
  • Familiarity with collecting and processing large-scale datasets from open-source and web resources.
  • Demonstrated ability to work with ML infrastructure (e.g., model evaluation, optimization, debugging).
  • Proactive mindset with the ability to identify impactful research questions and execute on them with minimal supervision.
  • Effective communication and collaboration skills for working in cross-functional teams.
    • "},{"text":"Preferred Professional Experience","content":"
  • Experience designing and deploying agentic LLM systems, reasoning benchmarks, or RAG pipelines.
  • Background in building complex knowledge retrieval systems (e.g., knowledge graphs, semantic search, indexing).
  • Strong publication record in leading AI conferences (e.g., ICLR, ACL, NeurIPS, EMNLP).
  • Familiarity with performance constraints in production environments and the trade-offs in model and data design.
  • Prior contributions to open-source ML research or data tools.
    • "}],"text":"Research Scientist","country":"AE","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"
    About the Institute of Foundation Models
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.



    The Role

    As a Research Scientist with a focus on data-centric large language model (LLM) development, your role will center on advancing the frontiers of how LLMs reason, retrieve, and interact with external information sources. You will proactively identify, collect, and organize datasets that enable LLMs to perform complex reasoning tasks, while also developing scalable systems and tooling that integrate cutting-edge research with robust engineering. Your work will have a direct impact on the performance and reliability of intelligent systems at MBZUAI IFM.
    ","descriptionBodyPlain":"About the Institute of Foundation Models\nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n\nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n\n\n\nThe Role\n\nAs a Research Scientist with a focus on data-centric large language model (LLM) development, your role will center on advancing the frontiers of how LLMs reason, retrieve, and interact with external information sources. You will proactively identify, collect, and organize datasets that enable LLMs to perform complex reasoning tasks, while also developing scalable systems and tooling that integrate cutting-edge research with robust engineering. Your work will have a direct impact on the performance and reliability of intelligent systems at MBZUAI IFM.\n","hostedUrl":"https://jobs.lever.co/ifm-us/4b367c0c-c1a5-4c3b-b637-5eb9e47a9bcb","applyUrl":"https://jobs.lever.co/ifm-us/4b367c0c-c1a5-4c3b-b637-5eb9e47a9bcb/apply"},{"additionalPlain":"Visa Sponsorship\nThis position is eligible for visa sponsorship.\n \nBenefits Include\n*Comprehensive medical, dental, and vision benefits \n *Bonus\n*401K Plan\n*Generous paid time off, sick leave and holidays\n*Paid Parental Leave\n*Employee Assistance Program\n*Life insurance and disability\n","additional":"
    Visa Sponsorship
    \n
    This position is eligible for visa sponsorship.
    \n
     
    \n
    Benefits Include
    \n
    *Comprehensive medical, dental, and vision benefits 
    \n
     *Bonus
    \n
    *401K Plan
    \n
    *Generous paid time off, sick leave and holidays
    \n
    *Paid Parental Leave
    \n
    *Employee Assistance Program
    \n
    *Life insurance and disability
    ","categories":{"commitment":"Full-time","location":"Sunnyvale, CA","team":"Research","allLocations":["Sunnyvale, CA"]},"createdAt":1768268871279,"descriptionPlain":"About the Institute of Foundation Models\nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n \nPosition Summary\nAs a member of the Agents team, you will tackle research and engineering challenges to train advanced agentic language models that are adept at using reasoning and tool use to complete tasks on a computer. These challenges range from building high-quality training datasets and robust evaluations to innovative reinforcement learning infrastructure, algorithms and environments. The team aims to recruit candidates across the research-engineering spectrum, from algorithmic and empirical research to large-scale systems and optimization, reflecting the breadth of interesting problems we aim to solve. We value depth in any subset of these areas; there is no single “right” background.\n \nKey Responsibilities\n·       Propose, prototype, and scale algorithms/systems to support agentic learning\n·       Develop new paradigms for agentic behavior that go beyond current practices\n·       Contribute to technical reports, research publications, and open-source software\n·       Collaborate with other teams to produce state-of-the-art foundation models\n \nAcademic Qualifications\n•                BS, MS, or PhD degree (or equivalent experience) in Computer Science, Machine Learning, or related fields\n \nProfessional Experience\nMinimum\n·      2 years of experience working in one of the following or related areas: LLM training/fine-tuning, evaluations, reinforcement learning, LLM inference, distributed machine learning systems\n·      Python and PyTorch development experience\n·      Experience in using LLM agents for your personal or professional use\n·      Experience in designing and implementing algorithms from scratch (for algorithms focus)\n·      Experience in dataset curation and generation (for data focus)\n·      Experience in building or contributing to training/serving infrastructure (for systems focus)\n·      Experience in designing and deep diving into evaluations (for evals focus)\n \nPreferred Skills\n·      Expertise in one or more of PyTorch, Ray, Triton, CUDA C++\n·      Strong knowledge of literature on RL, LLM reasoning, and tool use\n·      Experience in training or using LLM agents for SWE tasks\n·      Deep understanding of reinforcement learning principles\n·      Experience implementing distributed learning algorithms\n·      Contributions to published research and/or open-source ML software\n","description":"
    About the Institute of Foundation Models
    \n
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.
    \n
    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.
    \n
     
    \n
    Position Summary
    \n
    As a member of the Agents team, you will tackle research and engineering challenges to train advanced agentic language models that are adept at using reasoning and tool use to complete tasks on a computer. These challenges range from building high-quality training datasets and robust evaluations to innovative reinforcement learning infrastructure, algorithms and environments. The team aims to recruit candidates across the research-engineering spectrum, from algorithmic and empirical research to large-scale systems and optimization, reflecting the breadth of interesting problems we aim to solve. We value depth in any subset of these areas; there is no single “right” background.
    \n
     
    \n
    Key Responsibilities
    \n
    ·       Propose, prototype, and scale algorithms/systems to support agentic learning
    \n
    ·       Develop new paradigms for agentic behavior that go beyond current practices
    \n
    ·       Contribute to technical reports, research publications, and open-source software
    \n
    ·       Collaborate with other teams to produce state-of-the-art foundation models
    \n
     
    \n
    Academic Qualifications
    \n
    •                BS, MS, or PhD degree (or equivalent experience) in Computer Science, Machine Learning, or related fields
    \n
     
    \n
    Professional Experience
    \n
    Minimum
    \n
    ·      2 years of experience working in one of the following or related areas: LLM training/fine-tuning, evaluations, reinforcement learning, LLM inference, distributed machine learning systems
    \n
    ·      Python and PyTorch development experience
    \n
    ·      Experience in using LLM agents for your personal or professional use
    \n
    ·      Experience in designing and implementing algorithms from scratch (for algorithms focus)
    \n
    ·      Experience in dataset curation and generation (for data focus)
    \n
    ·      Experience in building or contributing to training/serving infrastructure (for systems focus)
    \n
    ·      Experience in designing and deep diving into evaluations (for evals focus)
    \n
     
    \n
    Preferred Skills
    \n
    ·      Expertise in one or more of PyTorch, Ray, Triton, CUDA C++
    \n
    ·      Strong knowledge of literature on RL, LLM reasoning, and tool use
    \n
    ·      Experience in training or using LLM agents for SWE tasks
    \n
    ·      Deep understanding of reinforcement learning principles
    \n
    ·      Experience implementing distributed learning algorithms
    \n
    ·      Contributions to published research and/or open-source ML software
    ","id":"9ae2a6dc-39bd-4dbe-aa0b-d99e656f8b04","lists":[],"salaryRange":{"min":150000,"max":450000,"currency":"USD","interval":"per-year-salary"},"text":"Research Scientist - Agents","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"
    About the Institute of Foundation Models
    \n
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.
    \n
    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.
    \n
     
    \n
    Position Summary
    \n
    As a member of the Agents team, you will tackle research and engineering challenges to train advanced agentic language models that are adept at using reasoning and tool use to complete tasks on a computer. These challenges range from building high-quality training datasets and robust evaluations to innovative reinforcement learning infrastructure, algorithms and environments. The team aims to recruit candidates across the research-engineering spectrum, from algorithmic and empirical research to large-scale systems and optimization, reflecting the breadth of interesting problems we aim to solve. We value depth in any subset of these areas; there is no single “right” background.
    \n
     
    \n
    Key Responsibilities
    \n
    ·       Propose, prototype, and scale algorithms/systems to support agentic learning
    \n
    ·       Develop new paradigms for agentic behavior that go beyond current practices
    \n
    ·       Contribute to technical reports, research publications, and open-source software
    \n
    ·       Collaborate with other teams to produce state-of-the-art foundation models
    \n
     
    \n
    Academic Qualifications
    \n
    •                BS, MS, or PhD degree (or equivalent experience) in Computer Science, Machine Learning, or related fields
    \n
     
    \n
    Professional Experience
    \n
    Minimum
    \n
    ·      2 years of experience working in one of the following or related areas: LLM training/fine-tuning, evaluations, reinforcement learning, LLM inference, distributed machine learning systems
    \n
    ·      Python and PyTorch development experience
    \n
    ·      Experience in using LLM agents for your personal or professional use
    \n
    ·      Experience in designing and implementing algorithms from scratch (for algorithms focus)
    \n
    ·      Experience in dataset curation and generation (for data focus)
    \n
    ·      Experience in building or contributing to training/serving infrastructure (for systems focus)
    \n
    ·      Experience in designing and deep diving into evaluations (for evals focus)
    \n
     
    \n
    Preferred Skills
    \n
    ·      Expertise in one or more of PyTorch, Ray, Triton, CUDA C++
    \n
    ·      Strong knowledge of literature on RL, LLM reasoning, and tool use
    \n
    ·      Experience in training or using LLM agents for SWE tasks
    \n
    ·      Deep understanding of reinforcement learning principles
    \n
    ·      Experience implementing distributed learning algorithms
    \n
    ·      Contributions to published research and/or open-source ML software
    ","descriptionBodyPlain":"About the Institute of Foundation Models\nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n \nPosition Summary\nAs a member of the Agents team, you will tackle research and engineering challenges to train advanced agentic language models that are adept at using reasoning and tool use to complete tasks on a computer. These challenges range from building high-quality training datasets and robust evaluations to innovative reinforcement learning infrastructure, algorithms and environments. The team aims to recruit candidates across the research-engineering spectrum, from algorithmic and empirical research to large-scale systems and optimization, reflecting the breadth of interesting problems we aim to solve. We value depth in any subset of these areas; there is no single “right” background.\n \nKey Responsibilities\n·       Propose, prototype, and scale algorithms/systems to support agentic learning\n·       Develop new paradigms for agentic behavior that go beyond current practices\n·       Contribute to technical reports, research publications, and open-source software\n·       Collaborate with other teams to produce state-of-the-art foundation models\n \nAcademic Qualifications\n•                BS, MS, or PhD degree (or equivalent experience) in Computer Science, Machine Learning, or related fields\n \nProfessional Experience\nMinimum\n·      2 years of experience working in one of the following or related areas: LLM training/fine-tuning, evaluations, reinforcement learning, LLM inference, distributed machine learning systems\n·      Python and PyTorch development experience\n·      Experience in using LLM agents for your personal or professional use\n·      Experience in designing and implementing algorithms from scratch (for algorithms focus)\n·      Experience in dataset curation and generation (for data focus)\n·      Experience in building or contributing to training/serving infrastructure (for systems focus)\n·      Experience in designing and deep diving into evaluations (for evals focus)\n \nPreferred Skills\n·      Expertise in one or more of PyTorch, Ray, Triton, CUDA C++\n·      Strong knowledge of literature on RL, LLM reasoning, and tool use\n·      Experience in training or using LLM agents for SWE tasks\n·      Deep understanding of reinforcement learning principles\n·      Experience implementing distributed learning algorithms\n·      Contributions to published research and/or open-source ML software\n","hostedUrl":"https://jobs.lever.co/ifm-us/9ae2a6dc-39bd-4dbe-aa0b-d99e656f8b04","applyUrl":"https://jobs.lever.co/ifm-us/9ae2a6dc-39bd-4dbe-aa0b-d99e656f8b04/apply"},{"additionalPlain":"Visa Sponsorship\nThis position is eligible for visa sponsorship.\n\nBenefits Include\n*Comprehensive medical, dental, and vision benefits \n *Bonus\n*401K Plan\n*Generous paid time off, sick leave and holidays\n*Paid Parental Leave\n*Employee Assistance Program\n*Life insurance and disability\n\n\n","additional":"
    Visa Sponsorship
    This position is eligible for visa sponsorship.

    Benefits Include
    *Comprehensive medical, dental, and vision benefits 
     *Bonus
    *401K Plan
    *Generous paid time off, sick leave and holidays
    *Paid Parental Leave
    *Employee Assistance Program
    *Life insurance and disability


    ","categories":{"commitment":"Full-time","location":"Sunnyvale, CA","team":"Research","allLocations":["Sunnyvale, CA"]},"createdAt":1742925329117,"descriptionPlain":"About the Institute of Foundation Models\nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n\nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n\n\n\n\nThe Role\n \nAs a Research Scientist in the Data team, your primary responsibility is to curate high quality data at the web-scale to fuel the development of next generation foundation models. You will work on exploring andconsolidatingdata sources and collaborate with cross-functional teams to conduct in-depth data research, contributing to MBZUAI’s mission of driving impactful AI discoveries and positioning the institution as a leader in the global AI research community. Your expertise will be key in enhancing the performance of large-scale machine learning models, while supporting the development of transformative AI tools that can influence industries worldwide. \n","description":"
    About the Institute of Foundation Models
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.



    The Role
    \n
     
    \n
    As a Research Scientist in the Data team, your primary responsibility is to curate high quality data at the web-scale to fuel the development of next generation foundation models. You will work on exploring andconsolidatingdata sources and collaborate with cross-functional teams to conduct in-depth data research, contributing to MBZUAI’s mission of driving impactful AI discoveries and positioning the institution as a leader in the global AI research community. Your expertise will be key in enhancing the performance of large-scale machine learning models, while supporting the development of transformative AI tools that can influence industries worldwide. 
    ","id":"e71b87a7-e2ac-414e-b414-97fdc18658dc","lists":[{"text":"Key Responsibilities","content":"\n
  • Pioneer web-scale data collection and curation methodologies for LLMs and multi-modal foundation models. 
    • \n
  • Design and implement novel data synthesis pipelines for code, mathematics, and agentic reasoning datasets. 
    • \n
  • Trace the impact of data from pre-training to final model capabilities and create automated quality assessment frameworks for massive datasets 
    • \n
  • Design data recipes that maximize model capabilities across diverse domains. 
    • \n
  • Optimize data-model co-design for improved training dynamics. 
    • \n
  • Contribute to research papers and represent MBZUAI at industry conferences and events, showcasing the institution’s AI research and innovation. 
    • \n"},{"text":"Academic Qualifications","content":"\n
  • Minimum: Master’s in Computer Science, Data Science, or a related technical field, or equivalent practical experience required. 
    • \n
  • Preferred: PhD or equivalent research experience in Machine Learning, NLP, or Data Science with a focus on LLMs and data is preferred. 
    • \n"},{"text":"Professional Experience","content":"\n
  • Experience working with large language models, including evaluation, fine-tuning, and prompt engineering. 
    • \n
  • Strong Python development skills with a focus on research-grade code and scalable data pipelines. 
    • \n
  • Familiarity with collecting and processing large-scale datasets from open-source and web resources. 
    • \n
  • Demonstrated ability to work with ML infrastructure (e.g., model evaluation, optimization, debugging). 
    • \n
  • Proactive mindset with the ability to identify impactful research questions and execute on them with minimal supervision. 
    • \n
  • Effective communication and collaboration skills for working in cross-functional teams. 
    • \n\n
    Preferred   
    \n\n
  • Prior research experience in areas such as web data curation and mixing, synthetizing complex datasets for training, LLM evaluation, post-training data, efficient inference, LLM-as-a-judge, tokenization. 
    • \n
  • Strong publication record in leading AI conferences (e.g., NeurIPS, ICLR, ICML, EMNLP) and/or prior contributions to open-source AI research or data tools. 
    • \n
  • Hands-on experience training language/mutli-modal models from scratch. 
    • \n"}],"salaryRange":{"min":150000,"max":450000,"currency":"USD","interval":"per-year-salary"},"text":"Research Scientist - Data","country":"US","workplaceType":"onsite","opening":"
    About the Institute of Foundation Models
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.


    ","openingPlain":"About the Institute of Foundation Models\nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n\nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n\n\n","descriptionBody":"
    The Role
    \n
     
    \n
    As a Research Scientist in the Data team, your primary responsibility is to curate high quality data at the web-scale to fuel the development of next generation foundation models. You will work on exploring andconsolidatingdata sources and collaborate with cross-functional teams to conduct in-depth data research, contributing to MBZUAI’s mission of driving impactful AI discoveries and positioning the institution as a leader in the global AI research community. Your expertise will be key in enhancing the performance of large-scale machine learning models, while supporting the development of transformative AI tools that can influence industries worldwide. 
    ","descriptionBodyPlain":"The Role\n \nAs a Research Scientist in the Data team, your primary responsibility is to curate high quality data at the web-scale to fuel the development of next generation foundation models. You will work on exploring andconsolidatingdata sources and collaborate with cross-functional teams to conduct in-depth data research, contributing to MBZUAI’s mission of driving impactful AI discoveries and positioning the institution as a leader in the global AI research community. Your expertise will be key in enhancing the performance of large-scale machine learning models, while supporting the development of transformative AI tools that can influence industries worldwide. \n","hostedUrl":"https://jobs.lever.co/ifm-us/e71b87a7-e2ac-414e-b414-97fdc18658dc","applyUrl":"https://jobs.lever.co/ifm-us/e71b87a7-e2ac-414e-b414-97fdc18658dc/apply"},{"additionalPlain":"Visa Sponsorship\nThis position is eligible for visa sponsorship.\n\nBenefits Include\n*Comprehensive medical, dental, and vision benefits \n *Bonus\n*401K Plan\n*Generous paid time off, sick leave and holidays\n*Paid Parental Leave\n*Employee Assistance Program\n*Life insurance and disability\n\n\n","additional":"
    Visa Sponsorship
    This position is eligible for visa sponsorship.

    Benefits Include
    *Comprehensive medical, dental, and vision benefits 
     *Bonus
    *401K Plan
    *Generous paid time off, sick leave and holidays
    *Paid Parental Leave
    *Employee Assistance Program
    *Life insurance and disability


    ","categories":{"commitment":"Full-time","location":"Sunnyvale, CA","team":"Research","allLocations":["Sunnyvale, CA"]},"createdAt":1749490105823,"descriptionPlain":"About the Institute of Foundation Models\nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n\nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n\n\n\n\nRole Overview\nBuild and scale distributed pre-training frameworks\n·      Set up DeepSpeed / FSDP / Megatron-LM across multi-node GPU clusters.\n·      Create robust launch scripts, resilient checkpoints, and job monitoring (e.g. NCCL/GLOO/GPU).\nTurn mathematical ideas into fast production code\n·      Prototype new optimizers or attention methods (like in PyTorch/NumPy/JAX orothers).\n·      Convert them into efficient CUDA/Triton kernels with custom gradients and tests.\nBoost training efficiency and stability\n·      Lead mixed-precision training, push bf16, fp8, etc, into daily runs, track their accuracy-vs-speed gains, and be able to analyze numeric stability\n·      Apply kernel fusion, communication tuning, and memory optimization to reach state-of-the-art throughput.\nAccelerate research velocity\n·      Build logging, metrics, and other experiment-tracking tools for rapid iteration.\n·      Design ablation studies and statistical tests that validate—or refute—new ideas.\n·      Mentor interns and junior engineers through clear async design docs and code reviews.\nYou’ll work side-by-side with researchers, ship production code, and shape the future of large language models.\nWhy You’ll Love This Job\n·      Frontier-scale impact – Train and ship cutting-edge models powering MBZUAI research and industry collaborations.\n·      Research × Engineering blend – Move breakthrough papers into real systems and publish your own results.\n·      End-to-end mastery – Touch everything from petabyte data loaders to custom low-level kernels—experience that’s rare elsewhere.\n·      Open, mission-driven science – Join a transparent culture tackling problems that truly advance AI.\n·      Founding-team growth – Help set direction for IFM U.S. and lead the next generation of AI development.\nKey Responsibilities\n·      Framework Ownership – Productionize a PyTorch/JAX pre-training stack and keep it reliable at scale.\n·      Custom Optimizer Implementation – Code new algorithms in distributed frameworks directly from mathematical specs.\n·      Experiment Infrastructure – Build reusable modules, logging, and metrics dashboards that speed up research cycles.\n·      Performance Optimization – Apply kernel fusion, communication optimization, and memory management to thousands of GPU jobs.\n·      Distributed Debugging – Rapidly diagnose gradient synchronization, collective-ops, or fault-tolerance issues.\n·      Collaboration – Document designs clearly, run post-mortems, and partner with global research teams.\nQualifications\nMust-Haves\n·      5 + years combined industry or hands-on research experience with large-scale deep-learning training.\n·      Led at least one large-scale transformer pre-training run\n·      Expert PyTorch or JAX/Flax plus DeepSpeed, FSDP, Megatron-LM, or MosaicML Composer.\n·      Experience with distributed training at scale (100+ GPUs).\n·      Proven multi-node GPU work (Slurm, K8s, or Ray) and NCCL/GLOO debugging.\n·      Strong software engineering skills on large ML codebases\n·      Ownership of mixed- or low-precision paths (bf16, fp8, 4-bit) with accuracy validation.\n·      Clear written communication (design docs, RFCs, post-mortems).\nNice-to-Haves\n·      NeurIPS / ICML / ICLR papers or open-source contributions to major ML frameworks.\n·      Experience implementing optimization algorithms (e.g., SGD variants, Adam, second-order methods).\n·      Background in numerical computing.\n·      Ability to translate math and\n·      build high-perf CUDA/Triton kernels.\n","description":"
    About the Institute of Foundation Models
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.



    Role Overview
    \n
    Build and scale distributed pre-training frameworks
    \n
    ·      Set up DeepSpeed / FSDP / Megatron-LM across multi-node GPU clusters.
    \n
    ·      Create robust launch scripts, resilient checkpoints, and job monitoring (e.g. NCCL/GLOO/GPU).
    \n
    Turn mathematical ideas into fast production code
    \n
    ·      Prototype new optimizers or attention methods (like in PyTorch/NumPy/JAX orothers).
    \n
    ·      Convert them into efficient CUDA/Triton kernels with custom gradients and tests.
    \n
    Boost training efficiency and stability
    \n
    ·      Lead mixed-precision training, push bf16, fp8, etc, into daily runs, track their accuracy-vs-speed gains, and be able to analyze numeric stability
    \n
    ·      Apply kernel fusion, communication tuning, and memory optimization to reach state-of-the-art throughput.
    \n
    Accelerate research velocity
    \n
    ·      Build logging, metrics, and other experiment-tracking tools for rapid iteration.
    \n
    ·      Design ablation studies and statistical tests that validate—or refute—new ideas.
    \n
    ·      Mentor interns and junior engineers through clear async design docs and code reviews.
    \n
    You’ll work side-by-side with researchers, ship production code, and shape the future of large language models.
    \n
    Why You’ll Love This Job
    \n
    ·      Frontier-scale impact – Train and ship cutting-edge models powering MBZUAI research and industry collaborations.
    \n
    ·      Research × Engineering blend – Move breakthrough papers into real systems and publish your own results.
    \n
    ·      End-to-end mastery – Touch everything from petabyte data loaders to custom low-level kernels—experience that’s rare elsewhere.
    \n
    ·      Open, mission-driven science – Join a transparent culture tackling problems that truly advance AI.
    \n
    ·      Founding-team growth – Help set direction for IFM U.S. and lead the next generation of AI development.
    \n
    Key Responsibilities
    \n
    ·      Framework Ownership – Productionize a PyTorch/JAX pre-training stack and keep it reliable at scale.
    \n
    ·      Custom Optimizer Implementation – Code new algorithms in distributed frameworks directly from mathematical specs.
    \n
    ·      Experiment Infrastructure – Build reusable modules, logging, and metrics dashboards that speed up research cycles.
    \n
    ·      Performance Optimization – Apply kernel fusion, communication optimization, and memory management to thousands of GPU jobs.
    \n
    ·      Distributed Debugging – Rapidly diagnose gradient synchronization, collective-ops, or fault-tolerance issues.
    \n
    ·      Collaboration – Document designs clearly, run post-mortems, and partner with global research teams.
    \n
    Qualifications
    \n
    Must-Haves
    \n
    ·      5 + years combined industry or hands-on research experience with large-scale deep-learning training.
    \n
    ·      Led at least one large-scale transformer pre-training run
    \n
    ·      Expert PyTorch or JAX/Flax plus DeepSpeed, FSDP, Megatron-LM, or MosaicML Composer.
    \n
    ·      Experience with distributed training at scale (100+ GPUs).
    \n
    ·      Proven multi-node GPU work (Slurm, K8s, or Ray) and NCCL/GLOO debugging.
    \n
    ·      Strong software engineering skills on large ML codebases
    \n
    ·      Ownership of mixed- or low-precision paths (bf16, fp8, 4-bit) with accuracy validation.
    \n
    ·      Clear written communication (design docs, RFCs, post-mortems).
    \n
    Nice-to-Haves
    \n
    ·      NeurIPS / ICML / ICLR papers or open-source contributions to major ML frameworks.
    \n
    ·      Experience implementing optimization algorithms (e.g., SGD variants, Adam, second-order methods).
    \n
    ·      Background in numerical computing.
    \n
    ·      Ability to translate math and
    \n
    ·      build high-perf CUDA/Triton kernels.
    ","id":"0f35e9dd-2478-412c-aacd-994c426fa866","lists":[],"salaryRange":{"min":150000,"max":450000,"currency":"USD","interval":"per-year-salary"},"salaryDescription":"
    Total compensation target:$300 K – $600 K (base salary + target bonus up to 30 %), commensurate with experience.
    ","salaryDescriptionPlain":"Total compensation target:$300 K – $600 K (base salary + target bonus up to 30 %), commensurate with experience.\n","text":"Research Scientist - Distributed Machine Learning","country":"US","workplaceType":"onsite","opening":"
    About the Institute of Foundation Models
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.


    ","openingPlain":"About the Institute of Foundation Models\nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n\nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n\n\n","descriptionBody":"
    Role Overview
    \n
    Build and scale distributed pre-training frameworks
    \n
    ·      Set up DeepSpeed / FSDP / Megatron-LM across multi-node GPU clusters.
    \n
    ·      Create robust launch scripts, resilient checkpoints, and job monitoring (e.g. NCCL/GLOO/GPU).
    \n
    Turn mathematical ideas into fast production code
    \n
    ·      Prototype new optimizers or attention methods (like in PyTorch/NumPy/JAX orothers).
    \n
    ·      Convert them into efficient CUDA/Triton kernels with custom gradients and tests.
    \n
    Boost training efficiency and stability
    \n
    ·      Lead mixed-precision training, push bf16, fp8, etc, into daily runs, track their accuracy-vs-speed gains, and be able to analyze numeric stability
    \n
    ·      Apply kernel fusion, communication tuning, and memory optimization to reach state-of-the-art throughput.
    \n
    Accelerate research velocity
    \n
    ·      Build logging, metrics, and other experiment-tracking tools for rapid iteration.
    \n
    ·      Design ablation studies and statistical tests that validate—or refute—new ideas.
    \n
    ·      Mentor interns and junior engineers through clear async design docs and code reviews.
    \n
    You’ll work side-by-side with researchers, ship production code, and shape the future of large language models.
    \n
    Why You’ll Love This Job
    \n
    ·      Frontier-scale impact – Train and ship cutting-edge models powering MBZUAI research and industry collaborations.
    \n
    ·      Research × Engineering blend – Move breakthrough papers into real systems and publish your own results.
    \n
    ·      End-to-end mastery – Touch everything from petabyte data loaders to custom low-level kernels—experience that’s rare elsewhere.
    \n
    ·      Open, mission-driven science – Join a transparent culture tackling problems that truly advance AI.
    \n
    ·      Founding-team growth – Help set direction for IFM U.S. and lead the next generation of AI development.
    \n
    Key Responsibilities
    \n
    ·      Framework Ownership – Productionize a PyTorch/JAX pre-training stack and keep it reliable at scale.
    \n
    ·      Custom Optimizer Implementation – Code new algorithms in distributed frameworks directly from mathematical specs.
    \n
    ·      Experiment Infrastructure – Build reusable modules, logging, and metrics dashboards that speed up research cycles.
    \n
    ·      Performance Optimization – Apply kernel fusion, communication optimization, and memory management to thousands of GPU jobs.
    \n
    ·      Distributed Debugging – Rapidly diagnose gradient synchronization, collective-ops, or fault-tolerance issues.
    \n
    ·      Collaboration – Document designs clearly, run post-mortems, and partner with global research teams.
    \n
    Qualifications
    \n
    Must-Haves
    \n
    ·      5 + years combined industry or hands-on research experience with large-scale deep-learning training.
    \n
    ·      Led at least one large-scale transformer pre-training run
    \n
    ·      Expert PyTorch or JAX/Flax plus DeepSpeed, FSDP, Megatron-LM, or MosaicML Composer.
    \n
    ·      Experience with distributed training at scale (100+ GPUs).
    \n
    ·      Proven multi-node GPU work (Slurm, K8s, or Ray) and NCCL/GLOO debugging.
    \n
    ·      Strong software engineering skills on large ML codebases
    \n
    ·      Ownership of mixed- or low-precision paths (bf16, fp8, 4-bit) with accuracy validation.
    \n
    ·      Clear written communication (design docs, RFCs, post-mortems).
    \n
    Nice-to-Haves
    \n
    ·      NeurIPS / ICML / ICLR papers or open-source contributions to major ML frameworks.
    \n
    ·      Experience implementing optimization algorithms (e.g., SGD variants, Adam, second-order methods).
    \n
    ·      Background in numerical computing.
    \n
    ·      Ability to translate math and
    \n
    ·      build high-perf CUDA/Triton kernels.
    ","descriptionBodyPlain":"Role Overview\nBuild and scale distributed pre-training frameworks\n·      Set up DeepSpeed / FSDP / Megatron-LM across multi-node GPU clusters.\n·      Create robust launch scripts, resilient checkpoints, and job monitoring (e.g. NCCL/GLOO/GPU).\nTurn mathematical ideas into fast production code\n·      Prototype new optimizers or attention methods (like in PyTorch/NumPy/JAX orothers).\n·      Convert them into efficient CUDA/Triton kernels with custom gradients and tests.\nBoost training efficiency and stability\n·      Lead mixed-precision training, push bf16, fp8, etc, into daily runs, track their accuracy-vs-speed gains, and be able to analyze numeric stability\n·      Apply kernel fusion, communication tuning, and memory optimization to reach state-of-the-art throughput.\nAccelerate research velocity\n·      Build logging, metrics, and other experiment-tracking tools for rapid iteration.\n·      Design ablation studies and statistical tests that validate—or refute—new ideas.\n·      Mentor interns and junior engineers through clear async design docs and code reviews.\nYou’ll work side-by-side with researchers, ship production code, and shape the future of large language models.\nWhy You’ll Love This Job\n·      Frontier-scale impact – Train and ship cutting-edge models powering MBZUAI research and industry collaborations.\n·      Research × Engineering blend – Move breakthrough papers into real systems and publish your own results.\n·      End-to-end mastery – Touch everything from petabyte data loaders to custom low-level kernels—experience that’s rare elsewhere.\n·      Open, mission-driven science – Join a transparent culture tackling problems that truly advance AI.\n·      Founding-team growth – Help set direction for IFM U.S. and lead the next generation of AI development.\nKey Responsibilities\n·      Framework Ownership – Productionize a PyTorch/JAX pre-training stack and keep it reliable at scale.\n·      Custom Optimizer Implementation – Code new algorithms in distributed frameworks directly from mathematical specs.\n·      Experiment Infrastructure – Build reusable modules, logging, and metrics dashboards that speed up research cycles.\n·      Performance Optimization – Apply kernel fusion, communication optimization, and memory management to thousands of GPU jobs.\n·      Distributed Debugging – Rapidly diagnose gradient synchronization, collective-ops, or fault-tolerance issues.\n·      Collaboration – Document designs clearly, run post-mortems, and partner with global research teams.\nQualifications\nMust-Haves\n·      5 + years combined industry or hands-on research experience with large-scale deep-learning training.\n·      Led at least one large-scale transformer pre-training run\n·      Expert PyTorch or JAX/Flax plus DeepSpeed, FSDP, Megatron-LM, or MosaicML Composer.\n·      Experience with distributed training at scale (100+ GPUs).\n·      Proven multi-node GPU work (Slurm, K8s, or Ray) and NCCL/GLOO debugging.\n·      Strong software engineering skills on large ML codebases\n·      Ownership of mixed- or low-precision paths (bf16, fp8, 4-bit) with accuracy validation.\n·      Clear written communication (design docs, RFCs, post-mortems).\nNice-to-Haves\n·      NeurIPS / ICML / ICLR papers or open-source contributions to major ML frameworks.\n·      Experience implementing optimization algorithms (e.g., SGD variants, Adam, second-order methods).\n·      Background in numerical computing.\n·      Ability to translate math and\n·      build high-perf CUDA/Triton kernels.\n","hostedUrl":"https://jobs.lever.co/ifm-us/0f35e9dd-2478-412c-aacd-994c426fa866","applyUrl":"https://jobs.lever.co/ifm-us/0f35e9dd-2478-412c-aacd-994c426fa866/apply"},{"additionalPlain":"Visa Sponsorship\nThis position is eligible for visa sponsorship.\n\nBenefits Include\n*Comprehensive medical, dental, and vision benefits \n *Bonus\n*401K Plan\n*Generous paid time off, sick leave and holidays\n*Paid Parental Leave\n*Employee Assistance Program\n*Life insurance and disability\n\n\n","additional":"
    Visa Sponsorship
    This position is eligible for visa sponsorship.

    Benefits Include
    *Comprehensive medical, dental, and vision benefits 
     *Bonus
    *401K Plan
    *Generous paid time off, sick leave and holidays
    *Paid Parental Leave
    *Employee Assistance Program
    *Life insurance and disability


    ","categories":{"commitment":"Full-time","location":"Sunnyvale, CA","team":"Research","allLocations":["Sunnyvale, CA"]},"createdAt":1742237526504,"descriptionPlain":"About the Institute of Foundation Models\nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n\nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n\n\n\n\nThe Role\nAs a Research Scientist specializing in Natural Language Processing (NLP) with a focus on large language models and deep learning, your role will be crucial in advancing cutting-edge language processing technologies and contributing to the development of intelligent systems. You will be responsible for a wide range of tasks encompassing research, development, and implementation of NLP solutions, with a particular emphasis on Python coding, machine learning techniques, and deep learning methodologies.\n","description":"
    About the Institute of Foundation Models
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.



    The Role
    \n
    As a Research Scientist specializing in Natural Language Processing (NLP) with a focus on large language models and deep learning, your role will be crucial in advancing cutting-edge language processing technologies and contributing to the development of intelligent systems. You will be responsible for a wide range of tasks encompassing research, development, and implementation of NLP solutions, with a particular emphasis on Python coding, machine learning techniques, and deep learning methodologies.
    ","id":"6a4c7a41-983f-4c06-b785-c2deb5cd3f5d","lists":[{"text":"Key Responsibilities","content":"\n
  • Lead the research of technology for improving the efficiency of Large Language Model (LLM) while performing target capabilities or supporting many capabilities, such as novel architectures and improved pre-training.
    • \n\n
     
    \n\n
  • Design and implement NLP algorithms for model training and prediction, leverage ML infrastructure, and contribute to model optimization and data processing, using Pytorch or other frameworks.
    • \n\n
     
    \n\n
  • Integrate and improve LLM algorithms to work with other models such as computer vision models
    • \n\n
     
    \n\n
  • Identify defined problems/gaps in existing technology and engage other Research teams, stakeholders and leaders to expand efficient LLM technology.
    • \n\n
     
    \n\n
  • Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies.
    • \n\n
     
    \n\n
  • Write up results in design documents, technical reports, and papers for publication.
    • \n\n
     
    \n\n
  • Represent MBZUAI at industry conferences and events, showcasing the institution’s cutting-edge HPC and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation.
    • \n\n
     
    \n\n
  • Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives.
    • \n"},{"text":"Academic Qualifications","content":"\n
  • Minimum: Master’s in Computer Science, a related technical field, or equivalent practical experience
    • \n\n
     
    \n\n
  • Preferred: PhD or equivalent research experience in Natural Language Processing
    • \n\n
     
    "},{"text":"Professional Experience - Minimum","content":"\n
  • Experience with state-of-the-art Gen AI techniques and models (e.g., LLMs, Multi-Modal, Large Vision Models) or with Gen AI-related concepts (e.g., language modeling, computer vision).
    • \n\n
     
    \n\n
  • Experience with software development in one or more programming languages (e.g. Python, C++), and with data structures/algorithms.
    • \n\n
     
    \n\n
  • Excellent problem-solving and troubleshooting skills to address complex technical challenges.
    • \n\n
     
    \n\n
  • Effective communication and collaboration skills to work with cross functional teams.
    • \n\n
     
    \n\n
  • Ability to effectively navigate ambiguity.
    • \n"},{"text":"Professional Experience - Preferred","content":"\n
  • Experience leading research efforts and influencing other researchers.
    • \n\n
     
    \n\n
  • Experience with efficiency, modularity or related topics for LLMs.
    • \n\n
     
    \n\n
  • Experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
    • \n\n
     
    \n\n
  • Experience with design and optimization of algorithms in performance constrained environments (e.g., mobile).
    • \n\n
     
    \n\n
  • Experience in innovative research, contributing to research communities including publishing in forums (e.g., ACL, EMNLP, NAACL, EACL, COLING, ICLR, AAAI, NeurIPS).
    • \n"}],"salaryRange":{"min":150000,"max":450000,"currency":"USD","interval":"per-year-salary"},"salaryDescription":"
    Salary depends on level.
    ","salaryDescriptionPlain":"Salary depends on level.\n","text":"Research Scientist - NLP","country":"US","workplaceType":"onsite","opening":"
    About the Institute of Foundation Models
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.


    ","openingPlain":"About the Institute of Foundation Models\nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n\nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n\n\n","descriptionBody":"
    The Role
    \n
    As a Research Scientist specializing in Natural Language Processing (NLP) with a focus on large language models and deep learning, your role will be crucial in advancing cutting-edge language processing technologies and contributing to the development of intelligent systems. You will be responsible for a wide range of tasks encompassing research, development, and implementation of NLP solutions, with a particular emphasis on Python coding, machine learning techniques, and deep learning methodologies.
    ","descriptionBodyPlain":"The Role\nAs a Research Scientist specializing in Natural Language Processing (NLP) with a focus on large language models and deep learning, your role will be crucial in advancing cutting-edge language processing technologies and contributing to the development of intelligent systems. You will be responsible for a wide range of tasks encompassing research, development, and implementation of NLP solutions, with a particular emphasis on Python coding, machine learning techniques, and deep learning methodologies.\n","hostedUrl":"https://jobs.lever.co/ifm-us/6a4c7a41-983f-4c06-b785-c2deb5cd3f5d","applyUrl":"https://jobs.lever.co/ifm-us/6a4c7a41-983f-4c06-b785-c2deb5cd3f5d/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full-time","location":"Sunnyvale, CA","team":"Research","allLocations":["Sunnyvale, CA"]},"createdAt":1753999701753,"descriptionPlain":"About the Institute of Foundation Models \nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.  \nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. \n \nPosition Summary  \nAs a Research Scientist within our Reinforcement Learning team, you will play a fundamental role in establishing our scientific and technical directions toward the development of emergent capabilities within Foundation Models. The role involves pioneering novel approaches within Reinforcement Learning to facilitate paradigm shifts in foundation modeling. The role involves prototyping and adapting novel approaches to learning from experience, contributing to large-scale RL training infrastructure, and produce replicable code for public release. You will also be expected to build and maintain a productive research portfolio, supported by internal and external collaborations.  \n  \nKey Responsibilities  \n- Develop novel research toward massive scale self-play for foundation model training, agentic tasks, and imbuing models with the capability to proactively learn from its environment.  \n- Initiate and pursue novel reinforcement learning algorithmic approaches to define and drive emergent capabilities in Foundation Models.  \n- Full-stack engineering from data curation, model architecture and algorithm design, to final production of models for end-users using high quality (documented, tested, maintainable) code.  \n- Contribute to technical reports and research publications.  \n- Represent MBZUAI at industry conferences and events, showcasing the institution’s technology and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation.  \n- Proactively engage with the open-source community.  \n- Contribute to large-scale reinforcement learning training and inference frameworks.   \n- Facilitate internal and external collaboration  \n  \nAcademic Qualifications  \n- MSc/MEng or PhD Degree (or equivalent experience) in Machine Learning, Computer Science or related fields.  \n  \nProfessional Experience  \nMinimum    \n- 3+ years of hands-on experience with reinforcement learning  \n- Demonstrated ability to independently identify limitations of current practice (internal and external), formulate and enact solution strategies for improvement.  \n- Proactive mindset with the ability to identify impactful research questions and execute on them with minimal supervision.  \n- Strong Python development skills with a focus on research-grade code and scalable data pipelines.  \n- Practical experience implementing complex mathematical concepts into reliable, well-documented code.  \n- Experience applying novel RL algorithms to practical applications.  \n- Strong experience contributing to academic and/or open-source research through publication, GitHub contributions, or professional presentations.  \n- Strong communication and collaboration skills for effective cross-functional work.  \n \nPreferred Qualifications   \n- Strong systems and engineering expertise in deep learning frameworks such as PyTorch, Jax, etc.  \n- Experience in large-scale model training (LLMs or Diffusion Models) on large clusters.  \n- Familiarity with current RL+LLM training libraries  \n- Experience training policies in self-play, possibly demonstrated by publication, blog post, public code.  \n- Experience working with Diffusion Models in RL, possibly demonstrated by publication, blog post, public code.  \n- Strong publication record in leading AI and RL venues (e.g.ICLR,  ICML, NeurIPS, RLC, JMLR, TMLR)  \n- Familiarity with performance constraints in production environments and the trade-offs in model design and execution.  \n- Prior contributions to open-source ML research or data tools.  \n- Demonstrated ability to solve complex system-level challenges and debug failures across training/inference stack (e.g. memory issues, deadlocks, I/O bottlenecks, multi-node communication failures). \n \n \n \n \n","description":"
    About the Institute of Foundation Models 
    \n
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.  
    \n
    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. 
    \n
     
    \n
    Position Summary  
    \n
    As a Research Scientist within our Reinforcement Learning team, you will play a fundamental role in establishing our scientific and technical directions toward the development of emergent capabilities within Foundation Models. The role involves pioneering novel approaches within Reinforcement Learning to facilitate paradigm shifts in foundation modeling. The role involves prototyping and adapting novel approaches to learning from experience, contributing to large-scale RL training infrastructure, and produce replicable code for public release. You will also be expected to build and maintain a productive research portfolio, supported by internal and external collaborations.  
    \n
      
    \n
    Key Responsibilities  
    \n
    - Develop novel research toward massive scale self-play for foundation model training, agentic tasks, and imbuing models with the capability to proactively learn from its environment.  
    \n
    - Initiate and pursue novel reinforcement learning algorithmic approaches to define and drive emergent capabilities in Foundation Models.  
    \n
    - Full-stack engineering from data curation, model architecture and algorithm design, to final production of models for end-users using high quality (documented, tested, maintainable) code.  
    \n
    - Contribute to technical reports and research publications.  
    \n
    - Represent MBZUAI at industry conferences and events, showcasing the institution’s technology and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation.  
    \n
    - Proactively engage with the open-source community.  
    \n
    - Contribute to large-scale reinforcement learning training and inference frameworks.   
    \n
    - Facilitate internal and external collaboration  
    \n
      
    \n
    Academic Qualifications  
    \n
    - MSc/MEng or PhD Degree (or equivalent experience) in Machine Learning, Computer Science or related fields.  
    \n
      
    \n
    Professional Experience  
    \n
    Minimum    
    \n
    - 3+ years of hands-on experience with reinforcement learning  
    \n
    - Demonstrated ability to independently identify limitations of current practice (internal and external), formulate and enact solution strategies for improvement.  
    \n
    - Proactive mindset with the ability to identify impactful research questions and execute on them with minimal supervision.  
    \n
    - Strong Python development skills with a focus on research-grade code and scalable data pipelines.  
    \n
    - Practical experience implementing complex mathematical concepts into reliable, well-documented code.  
    \n
    - Experience applying novel RL algorithms to practical applications.  
    \n
    - Strong experience contributing to academic and/or open-source research through publication, GitHub contributions, or professional presentations.  
    \n
    - Strong communication and collaboration skills for effective cross-functional work.  
    \n
     
    \n
    Preferred Qualifications   
    \n
    - Strong systems and engineering expertise in deep learning frameworks such as PyTorch, Jax, etc.  
    \n
    - Experience in large-scale model training (LLMs or Diffusion Models) on large clusters.  
    \n
    - Familiarity with current RL+LLM training libraries  
    \n
    - Experience training policies in self-play, possibly demonstrated by publication, blog post, public code.  
    \n
    - Experience working with Diffusion Models in RL, possibly demonstrated by publication, blog post, public code.  
    \n
    - Strong publication record in leading AI and RL venues (e.g.ICLR,  ICML, NeurIPS, RLC, JMLR, TMLR)  
    \n
    - Familiarity with performance constraints in production environments and the trade-offs in model design and execution.  
    \n
    - Prior contributions to open-source ML research or data tools.  
    \n
    - Demonstrated ability to solve complex system-level challenges and debug failures across training/inference stack (e.g. memory issues, deadlocks, I/O bottlenecks, multi-node communication failures). 
    \n
     
    \n
     
    \n
     
    \n
     
    ","id":"d8b60486-03aa-4ba1-9634-b2b49f9e09d4","lists":[],"salaryRange":{"min":150000,"max":450000,"currency":"USD","interval":"per-year-salary"},"salaryDescription":"
     
    \n
     
    \n
    Visa Sponsorship
    \n
    This position is eligible for visa sponsorship.
    \n
     
    \n
    Benefits Include
    \n
    *Comprehensive medical, dental, and vision benefits 
    \n
     *Bonus
    \n
    *401K Plan
    \n
    *Generous paid time off, sick leave and holidays
    \n
    *Paid Parental Leave
    \n
    *Employee Assistance Program
    \n
    *Life insurance and disability
    \n
     
    ","salaryDescriptionPlain":" \n \nVisa Sponsorship\nThis position is eligible for visa sponsorship.\n \nBenefits Include\n*Comprehensive medical, dental, and vision benefits \n *Bonus\n*401K Plan\n*Generous paid time off, sick leave and holidays\n*Paid Parental Leave\n*Employee Assistance Program\n*Life insurance and disability\n \n","text":"Research Scientist - Reinforcement Learning","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"
    About the Institute of Foundation Models 
    \n
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.  
    \n
    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. 
    \n
     
    \n
    Position Summary  
    \n
    As a Research Scientist within our Reinforcement Learning team, you will play a fundamental role in establishing our scientific and technical directions toward the development of emergent capabilities within Foundation Models. The role involves pioneering novel approaches within Reinforcement Learning to facilitate paradigm shifts in foundation modeling. The role involves prototyping and adapting novel approaches to learning from experience, contributing to large-scale RL training infrastructure, and produce replicable code for public release. You will also be expected to build and maintain a productive research portfolio, supported by internal and external collaborations.  
    \n
      
    \n
    Key Responsibilities  
    \n
    - Develop novel research toward massive scale self-play for foundation model training, agentic tasks, and imbuing models with the capability to proactively learn from its environment.  
    \n
    - Initiate and pursue novel reinforcement learning algorithmic approaches to define and drive emergent capabilities in Foundation Models.  
    \n
    - Full-stack engineering from data curation, model architecture and algorithm design, to final production of models for end-users using high quality (documented, tested, maintainable) code.  
    \n
    - Contribute to technical reports and research publications.  
    \n
    - Represent MBZUAI at industry conferences and events, showcasing the institution’s technology and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation.  
    \n
    - Proactively engage with the open-source community.  
    \n
    - Contribute to large-scale reinforcement learning training and inference frameworks.   
    \n
    - Facilitate internal and external collaboration  
    \n
      
    \n
    Academic Qualifications  
    \n
    - MSc/MEng or PhD Degree (or equivalent experience) in Machine Learning, Computer Science or related fields.  
    \n
      
    \n
    Professional Experience  
    \n
    Minimum    
    \n
    - 3+ years of hands-on experience with reinforcement learning  
    \n
    - Demonstrated ability to independently identify limitations of current practice (internal and external), formulate and enact solution strategies for improvement.  
    \n
    - Proactive mindset with the ability to identify impactful research questions and execute on them with minimal supervision.  
    \n
    - Strong Python development skills with a focus on research-grade code and scalable data pipelines.  
    \n
    - Practical experience implementing complex mathematical concepts into reliable, well-documented code.  
    \n
    - Experience applying novel RL algorithms to practical applications.  
    \n
    - Strong experience contributing to academic and/or open-source research through publication, GitHub contributions, or professional presentations.  
    \n
    - Strong communication and collaboration skills for effective cross-functional work.  
    \n
     
    \n
    Preferred Qualifications   
    \n
    - Strong systems and engineering expertise in deep learning frameworks such as PyTorch, Jax, etc.  
    \n
    - Experience in large-scale model training (LLMs or Diffusion Models) on large clusters.  
    \n
    - Familiarity with current RL+LLM training libraries  
    \n
    - Experience training policies in self-play, possibly demonstrated by publication, blog post, public code.  
    \n
    - Experience working with Diffusion Models in RL, possibly demonstrated by publication, blog post, public code.  
    \n
    - Strong publication record in leading AI and RL venues (e.g.ICLR,  ICML, NeurIPS, RLC, JMLR, TMLR)  
    \n
    - Familiarity with performance constraints in production environments and the trade-offs in model design and execution.  
    \n
    - Prior contributions to open-source ML research or data tools.  
    \n
    - Demonstrated ability to solve complex system-level challenges and debug failures across training/inference stack (e.g. memory issues, deadlocks, I/O bottlenecks, multi-node communication failures). 
    \n
     
    \n
     
    \n
     
    \n
     
    ","descriptionBodyPlain":"About the Institute of Foundation Models \nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.  \nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. \n \nPosition Summary  \nAs a Research Scientist within our Reinforcement Learning team, you will play a fundamental role in establishing our scientific and technical directions toward the development of emergent capabilities within Foundation Models. The role involves pioneering novel approaches within Reinforcement Learning to facilitate paradigm shifts in foundation modeling. The role involves prototyping and adapting novel approaches to learning from experience, contributing to large-scale RL training infrastructure, and produce replicable code for public release. You will also be expected to build and maintain a productive research portfolio, supported by internal and external collaborations.  \n  \nKey Responsibilities  \n- Develop novel research toward massive scale self-play for foundation model training, agentic tasks, and imbuing models with the capability to proactively learn from its environment.  \n- Initiate and pursue novel reinforcement learning algorithmic approaches to define and drive emergent capabilities in Foundation Models.  \n- Full-stack engineering from data curation, model architecture and algorithm design, to final production of models for end-users using high quality (documented, tested, maintainable) code.  \n- Contribute to technical reports and research publications.  \n- Represent MBZUAI at industry conferences and events, showcasing the institution’s technology and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation.  \n- Proactively engage with the open-source community.  \n- Contribute to large-scale reinforcement learning training and inference frameworks.   \n- Facilitate internal and external collaboration  \n  \nAcademic Qualifications  \n- MSc/MEng or PhD Degree (or equivalent experience) in Machine Learning, Computer Science or related fields.  \n  \nProfessional Experience  \nMinimum    \n- 3+ years of hands-on experience with reinforcement learning  \n- Demonstrated ability to independently identify limitations of current practice (internal and external), formulate and enact solution strategies for improvement.  \n- Proactive mindset with the ability to identify impactful research questions and execute on them with minimal supervision.  \n- Strong Python development skills with a focus on research-grade code and scalable data pipelines.  \n- Practical experience implementing complex mathematical concepts into reliable, well-documented code.  \n- Experience applying novel RL algorithms to practical applications.  \n- Strong experience contributing to academic and/or open-source research through publication, GitHub contributions, or professional presentations.  \n- Strong communication and collaboration skills for effective cross-functional work.  \n \nPreferred Qualifications   \n- Strong systems and engineering expertise in deep learning frameworks such as PyTorch, Jax, etc.  \n- Experience in large-scale model training (LLMs or Diffusion Models) on large clusters.  \n- Familiarity with current RL+LLM training libraries  \n- Experience training policies in self-play, possibly demonstrated by publication, blog post, public code.  \n- Experience working with Diffusion Models in RL, possibly demonstrated by publication, blog post, public code.  \n- Strong publication record in leading AI and RL venues (e.g.ICLR,  ICML, NeurIPS, RLC, JMLR, TMLR)  \n- Familiarity with performance constraints in production environments and the trade-offs in model design and execution.  \n- Prior contributions to open-source ML research or data tools.  \n- Demonstrated ability to solve complex system-level challenges and debug failures across training/inference stack (e.g. memory issues, deadlocks, I/O bottlenecks, multi-node communication failures). \n \n \n \n \n","hostedUrl":"https://jobs.lever.co/ifm-us/d8b60486-03aa-4ba1-9634-b2b49f9e09d4","applyUrl":"https://jobs.lever.co/ifm-us/d8b60486-03aa-4ba1-9634-b2b49f9e09d4/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full-time","location":"Paris","team":"Research","allLocations":["Paris"]},"createdAt":1767079568903,"descriptionPlain":"About the Institute of Foundation Models \n\nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. \n\nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n\nThe Role\n\nAs a Research Scientist specializing in speech/audio machine learning, you will contribute to the design and training of SoTA end-to-end neural speech models. You will be responsible for developing the core intellectual property, moving beyond cascaded ASR → TTS systems toward native audio-to-audio multimodal architectures.\n","description":"
    About the Institute of Foundation Models 

    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.

    The Role

    As a Research Scientist specializing in speech/audio machine learning, you will contribute to the design and training of SoTA end-to-end neural speech models. You will be responsible for developing the core intellectual property, moving beyond cascaded ASR → TTS systems toward native audio-to-audio multimodal architectures.
    ","id":"d0c7c7d9-731e-4ce0-982c-ad706363e8c4","lists":[{"text":"Key responsibilities","content":"
  • Architectural Design: Develop novel neural architectures for low-latency speech-to-speech translation and generation (e.g., Diffusion, Flow-matching, Transformer-based audio LLMs). 
  • Loss Function Engineering: Design and implement custom objective functions to optimize prosody (emotions, intelligibility, naturalness). 
  • Experimental Iteration: Conduct large-scale training runs, performing ablation studies on model architecture and tokenization strategies. 
  • Evaluation Frameworks: Establish rigorous internal benchmarks using both objective metrics (WER, MCD) and subjective human-in-the-loop (MOS) testing. 
    • "},{"text":"Qualifications ","content":"
  • PhD or MSc in Computer Science with a focus on Deep Learning, Signal Processing, or Computational Linguistics. 
  • Record of Research: Published work in top-tier venues (NeurIPS, ICLR, ICASSP, Interspeech). 
    • "}],"text":"Research Scientist - Speech/Audio Machine Learning","country":"FR","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"
    About the Institute of Foundation Models 

    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.

    The Role

    As a Research Scientist specializing in speech/audio machine learning, you will contribute to the design and training of SoTA end-to-end neural speech models. You will be responsible for developing the core intellectual property, moving beyond cascaded ASR → TTS systems toward native audio-to-audio multimodal architectures.
    ","descriptionBodyPlain":"About the Institute of Foundation Models \n\nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. \n\nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n\nThe Role\n\nAs a Research Scientist specializing in speech/audio machine learning, you will contribute to the design and training of SoTA end-to-end neural speech models. You will be responsible for developing the core intellectual property, moving beyond cascaded ASR → TTS systems toward native audio-to-audio multimodal architectures.\n","hostedUrl":"https://jobs.lever.co/ifm-us/d0c7c7d9-731e-4ce0-982c-ad706363e8c4","applyUrl":"https://jobs.lever.co/ifm-us/d0c7c7d9-731e-4ce0-982c-ad706363e8c4/apply"},{"additionalPlain":"","additional":"

    \n

    Professional Experience

    \n

    Minimum  

    \n\n
    \n

    Preferred Skills

    \n\n
    ","categories":{"commitment":"Full-time","location":"Sunnyvale, CA","team":"Research","allLocations":["Sunnyvale, CA"]},"createdAt":1780093533364,"descriptionPlain":"","description":"
    \n

    About the Institute of Foundation Models

    \n

    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. 

    \n

    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.

    \n
    ","id":"1f5c0611-5364-4155-91f8-6884e6757385","lists":[{"text":"Position Summary","content":"
    As a Research Scientist in the Vision Language Model (VLM) team, your role will be central to advancing state-of-the-art multimodal foundation models that integrate visual understanding, reasoning, and agentic capabilities. You will work on the research and development of large-scale VLM systems, spanning model architectures, data recipes for pre-training and post-training, and evaluation benchmarks. The role combines cutting-edge research with practical engineering, emphasizing large-scale data processing, filtering, and weighting pipelines, distributed training systems, and reinforcement learning algorithms and systems for multimodal reasoning and agent development.
    "},{"text":"Key Responsibilities","content":"
    \n
    "},{"text":"Academic Qualifications","content":"
    PhD or equivalent research experience in Machine Learning, Computer Vision, Natural Language Processing, or Multimodal AI.
    "}],"salaryRange":{"min":150000,"max":450000,"currency":"USD","interval":"per-year-salary"},"text":"Research Scientist - Vision Language Model","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"
    \n

    About the Institute of Foundation Models

    \n

    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. 

    \n

    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.

    \n
    ","descriptionBodyPlain":"","hostedUrl":"https://jobs.lever.co/ifm-us/1f5c0611-5364-4155-91f8-6884e6757385","applyUrl":"https://jobs.lever.co/ifm-us/1f5c0611-5364-4155-91f8-6884e6757385/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full-time","location":"Abu Dhabi","team":"Research","allLocations":["Abu Dhabi"]},"createdAt":1752215423474,"descriptionPlain":"About the Institute of Foundation Models\n\nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n \nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n \nThe Role\n\nAs a Research Scientist with the World Model Team, you'll help drive the development of PAN (Physical, Agentic, and Networked) world models — next-generation foundation models designed to push machine intelligence beyond language and into the realm of embodied, contextual reasoning. You'll tackle core technical challenges in world modeling and collaborate closely with a multidisciplinary team of researchers and engineers. We are looking for passionate individuals who share our vision and are eager to push the boundaries of AI together. \n","description":"
    About the Institute of Foundation Models

    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.
     
    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.
     
    The Role

    As a Research Scientist with the World Model Team, you'll help drive the development of PAN (Physical, Agentic, and Networked) world models — next-generation foundation models designed to push machine intelligence beyond language and into the realm of embodied, contextual reasoning. You'll tackle core technical challenges in world modeling and collaborate closely with a multidisciplinary team of researchers and engineers. We are looking for passionate individuals who share our vision and are eager to push the boundaries of AI together. 
    ","id":"2c2f5a7a-79f6-40ff-9274-638a047602c5","lists":[{"text":"Key Responsibilities","content":"
  • Develop the foundational world model to accurately simulate the physical world.
  • Collaborate with engineering and data teams to tackle key challenges in training the world model on large-scale clusters.
  • Develop metrics and evaluation benchmarks to better assess model performance.
  • Design and implement a scalable and efficient data annotation pipeline to ensure high-quality labeled data for training and evaluation.
  • Optimize inference efficiency to enable real-time interaction. 
    • "},{"text":"Areas of Focus","content":"
  • Scalable Training Systems: Develop and optimize infrastructure for training multimodal LLMs and video diffusion models at massive scale. 
  • Efficient Data Pipelines: Build scalable video data pipelines and annotation frameworks to support high-quality training data. 
  • Inference Optimization: Enhance inference efficiency through optimization and distillation techniques to enable real-time interaction. 
  • Visual Tokenization: Develop methods for discretizing visual features into tokens for improved model representation. 
  • Quantitative Evaluation: Establish rigorous benchmarks to assess physical accuracy, controllability, and intelligence. 
  • Scaling Laws for Video Pretraining: Investigate scaling law principles to guide efficient video pre-training strategies. 
    • "},{"text":"Academic Qualifications","content":"
  • MSc or PhD in Machine Learning or Computer Science, or equivalent industry experience. 
    • "},{"text":"Professional Experience","content":"
  • Experience in large-scale model training (LLMs or Diffusion Models) on large clusters. 
  • Hands-on experience with state-of-the-art video generative models (e.g., Sora, Veo2, MovieGen, CogVideoX, etc.). 
  • Experiences in building and optimizing large-scale video data pipelines. 
  • Experience in accelerating diffusion model inference for improved efficiency. 
  • Exceptional problem-solving and troubleshooting skills to tackle complex technical challenges. 
  • Strong systems and engineering expertise in deep learning frameworks such as PyTorch. 
  • Strong communication and collaboration skills for effective cross-functional teamwork. 
  • Ability to navigate ambiguity and drive projects in rapidly evolving research areas. 
  • Research contributions to top-tier conferences or journals (e.g., ICML, ICLR, NeurIPS, ACL, CVPR, COLM, etc.), with published work in relevant domains. 
    • "}],"text":"Research Scientist - World Modeling","country":"AE","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"
    About the Institute of Foundation Models

    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.
     
    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.
     
    The Role

    As a Research Scientist with the World Model Team, you'll help drive the development of PAN (Physical, Agentic, and Networked) world models — next-generation foundation models designed to push machine intelligence beyond language and into the realm of embodied, contextual reasoning. You'll tackle core technical challenges in world modeling and collaborate closely with a multidisciplinary team of researchers and engineers. We are looking for passionate individuals who share our vision and are eager to push the boundaries of AI together. 
    ","descriptionBodyPlain":"About the Institute of Foundation Models\n\nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n \nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n \nThe Role\n\nAs a Research Scientist with the World Model Team, you'll help drive the development of PAN (Physical, Agentic, and Networked) world models — next-generation foundation models designed to push machine intelligence beyond language and into the realm of embodied, contextual reasoning. You'll tackle core technical challenges in world modeling and collaborate closely with a multidisciplinary team of researchers and engineers. We are looking for passionate individuals who share our vision and are eager to push the boundaries of AI together. \n","hostedUrl":"https://jobs.lever.co/ifm-us/2c2f5a7a-79f6-40ff-9274-638a047602c5","applyUrl":"https://jobs.lever.co/ifm-us/2c2f5a7a-79f6-40ff-9274-638a047602c5/apply"},{"additionalPlain":"Visa Sponsorship\nThis position is eligible for visa sponsorship.\n\nBenefits Include\n*Comprehensive medical, dental, and vision benefits \n *Bonus\n*401K Plan\n*Generous paid time off, sick leave and holidays\n*Paid Parental Leave\n*Employee Assistance Program\n*Life insurance and disability\n\n\n","additional":"
    Visa Sponsorship
    This position is eligible for visa sponsorship.

    Benefits Include
    *Comprehensive medical, dental, and vision benefits 
     *Bonus
    *401K Plan
    *Generous paid time off, sick leave and holidays
    *Paid Parental Leave
    *Employee Assistance Program
    *Life insurance and disability


    ","categories":{"commitment":"Full-time","location":"Sunnyvale, CA","team":"Research","allLocations":["Sunnyvale, CA"]},"createdAt":1746217189466,"descriptionPlain":"About the Institute of Foundation Models\nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n\nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n\n\n\n\nThe Role\n \nWe are the AllWorld Team under the Institute of Foundation Model (IFM) at MBZUAI. At AllWorld, we are pioneering the development of the PAN (Physical, Agentic, and Networked) world models—the next-generation foundation models to unlock machine intelligence beyond lingual. \n \nOur mission is to tackle the fundamental challenges of world modeling and establish a new paradigm for next-generation machine reasoning. We are looking for passionate individuals who share our vision and are eager to push the boundaries of AI together. \n","description":"
    About the Institute of Foundation Models
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.



    The Role
    \n
     
    \n
    We are the AllWorld Team under the Institute of Foundation Model (IFM) at MBZUAI. At AllWorld, we are pioneering the development of the PAN (Physical, Agentic, and Networked) world models—the next-generation foundation models to unlock machine intelligence beyond lingual. 
    \n
     
    \n
    Our mission is to tackle the fundamental challenges of world modeling and establish a new paradigm for next-generation machine reasoning. We are looking for passionate individuals who share our vision and are eager to push the boundaries of AI together. 
    ","id":"adc38d88-64c7-4b26-9d45-ae287e178df6","lists":[{"text":"Key Responsibilities","content":"\n
  • Develop the foundational world model to accurately simulate the physical world.
    • \n
  • Collaborate with engineering and data teams to tackle key challenges in training the world model on large-scale clusters.
    • \n
  • Develop metrics and evaluation benchmarks to better assess model performance.
    • \n
  • Design and implement a scalable and efficient data annotation pipeline to ensure high-quality labeled data for training and evaluation.
    • \n
  • Optimize inference efficiency to enable real-time interaction. 
    • \n"},{"text":"Areas of Focus","content":"\n
  • Scalable Training Systems: Develop and optimize infrastructure for training multimodal LLMs and video diffusion models at massive scale. 
    • \n
  • Efficient Data Pipelines: Build scalable video data pipelines and annotation frameworks to support high-quality training data. 
    • \n
  • Inference Optimization: Enhance inference efficiency through optimization and distillation techniques to enable real-time interaction. 
    • \n
  • Visual Tokenization: Develop methods for discretizing visual features into tokens for improved model representation. 
    • \n
  • Quantitative Evaluation: Establish rigorous benchmarks to assess physical accuracy, controllability, and intelligence. 
    • \n
  • Scaling Laws for Video Pretraining: Investigate scaling law principles to guide efficient video pre-training strategies. 
    • \n"},{"text":"Academic Qualifications","content":"\n
  • MSc or PhD in Machine Learning or Computer Science, or equivalent industry experience. 
    • \n"},{"text":"Professional Experience","content":"\n
  • Experience in large-scale model training (LLMs or Diffusion Models) on large clusters. 
    • \n
  • Hands-on experience with state-of-the-art video generative models (e.g., Sora, Veo2, MovieGen, CogVideoX, etc.). 
    • \n
  • Experiences in building and optimizing large-scale video data pipelines. 
    • \n
  • Experience in accelerating diffusion model inference for improved efficiency. 
    • \n
  • Exceptional problem-solving and troubleshooting skills to tackle complex technical challenges. 
    • \n
  • Strong systems and engineering expertise in deep learning frameworks such as PyTorch. 
    • \n
  • Strong communication and collaboration skills for effective cross-functional teamwork. 
    • \n
  • Ability to navigate ambiguity and drive projects in rapidly evolving research areas. 
    • \n
  • Research contributions to top-tier conferences or journals (e.g., ICML, ICLR, NeurIPS, ACL, CVPR, COLM, etc.), with published work in relevant domains. 
    • \n"}],"salaryRange":{"min":150000,"max":450000,"currency":"USD","interval":"per-year-salary"},"text":"Research Scientist - World Modeling","country":"US","workplaceType":"onsite","opening":"
    About the Institute of Foundation Models
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.


    ","openingPlain":"About the Institute of Foundation Models\nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n\nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n\n\n","descriptionBody":"
    The Role
    \n
     
    \n
    We are the AllWorld Team under the Institute of Foundation Model (IFM) at MBZUAI. At AllWorld, we are pioneering the development of the PAN (Physical, Agentic, and Networked) world models—the next-generation foundation models to unlock machine intelligence beyond lingual. 
    \n
     
    \n
    Our mission is to tackle the fundamental challenges of world modeling and establish a new paradigm for next-generation machine reasoning. We are looking for passionate individuals who share our vision and are eager to push the boundaries of AI together. 
    ","descriptionBodyPlain":"The Role\n \nWe are the AllWorld Team under the Institute of Foundation Model (IFM) at MBZUAI. At AllWorld, we are pioneering the development of the PAN (Physical, Agentic, and Networked) world models—the next-generation foundation models to unlock machine intelligence beyond lingual. \n \nOur mission is to tackle the fundamental challenges of world modeling and establish a new paradigm for next-generation machine reasoning. We are looking for passionate individuals who share our vision and are eager to push the boundaries of AI together. \n","hostedUrl":"https://jobs.lever.co/ifm-us/adc38d88-64c7-4b26-9d45-ae287e178df6","applyUrl":"https://jobs.lever.co/ifm-us/adc38d88-64c7-4b26-9d45-ae287e178df6/apply"},{"additionalPlain":"","additional":"
    We encourage you to apply even if you don't meet every qualification listed. Strong candidates rarely match every line, and we'd rather hear from you than have you rule yourself out. 
    ","categories":{"commitment":"Full-time","location":"Sunnyvale, CA","team":"Research","allLocations":["Sunnyvale, CA"]},"createdAt":1780953631124,"descriptionPlain":"","description":"
    \n
    \n

    About the Institute of Foundation Models 

    \n
    \n
    \n

    The Institute of Foundation Models (IFM) is a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. 

    \n
    \n
    \n

    As part of our team, you'll work at the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You'll help build groundbreaking AI systems with the potential to reshape entire industries, and contribute to establishing MBZUAI as a global hub for high-performance computing and deep learning. 

    \n
    \n
    \n

    About the role 

    \n
    \n
    \n

    The Agents team trains advanced agentic language models that use reasoning and tool use to complete real tasks on a computer. This is a specialist role at the center of the loop that drives those models: the data we train on and the benchmarks we measure against. 

    \n
    \n
    \n

    You'll own the agentic data pipeline end-to-end — sourcing and generating high-quality trajectories, tool-use data, and RL environments — and the evaluation suite that tells us, rigorously and reproducibly, what our agents can actually do. These two halves are inseparable: benchmarks expose where models fail, and targeted data closes the gap. The agents are only as good as the data they learn from and the evals that keep us honest, and this role owns both. 

    \n
    \n
    \n

    This is a research scientist position for someone who wants depth in data and measurement rather than breadth across the whole stack. You should be the kind of person who reads through datasets line by line, distrusts a metric until it's been validated, and gets satisfaction from making an eval suite that nobody questions. 

    \n
    \n
    ","id":"ab7fbd2c-f809-4f08-ab53-3e666c9792eb","lists":[{"text":"Key responsibilities ","content":"
    \n
    \n
    \n

    Benchmarking & evaluation 

    \n
    \n
    \n
      \n
    • \n

      Design and run evaluations of agentic capabilities — multi-step reasoning, tool use, long-horizon planning, computer use, and safety properties — turning ambiguous notions of \"intelligence\" into defensible, reproducible metrics. 

      \n
      • \n\n
    \n
    \n
      \n
    • \n

      Build and harden evaluation harnesses so benchmarks run reliably at scale against training checkpoints, with clear signal on regressions and model health. 

      \n
      • \n\n
    \n
    \n
      \n
    • \n

      Run experiments characterizing how prompting, sampling, scaffolding, and environment design affect agentic performance on internal and public benchmarks. 

      \n
      • \n\n
    \n
    \n
      \n
    • \n

      Diagnose anomalous eval results mid-training-run — determine whether the cause is the model, the data, the harness, or the infrastructure — and communicate the answer clearly. 

      \n
      • \n\n
    \n
    \n

    Agentic data 

    \n
    \n
    \n
      \n
    • \n

      Source, generate, and curate high-quality agentic training data: trajectories, tool-use traces, and task datasets for new capabilities. 

      \n
      • \n\n
    \n
    \n
      \n
    • \n

      Design and scale RL environments and reward signals, and measure their impact on model performance. 

      \n
      • \n\n
    \n
    \n
      \n
    • \n

      Manage technical relationships with external data vendors and domain experts, evaluating data quality and iterating quickly on feedback. 

      \n
      • \n\n
    \n
    \n
    \n
    \n
      \n
    • \n

      Develop QA frameworks that catch reward hacking, label noise, and contamination, keeping data and benchmark quality high. 

      \n
      • \n\n
    \n
    \n

    Across both 

    \n
    \n
    \n
      \n
    • \n

      Contribute to technical reports, research publications, and open-source benchmarks and tooling. 

      \n
      • \n\n
    \n
    \n
      \n
    • \n

      Partner with research and product teams to translate capability goals into measurable data and evaluation artifacts. 

      \n
      • \n\n
    \n
    \n
    "},{"text":"Qualifications","content":"
    \n
    \n

    Academic qualifications 

    \n
    \n
    \n
    \n
    \n

    Minimum qualifications 

    \n
    \n
    \n
    \n
    \n
    \n
    \n
    \n
    \n
    \n
    \n
    \n
    \n

    Preferred qualifications 

    \n
    \n
    \n
    \n
    \n
    \n
    \n
    \n
    \n
    \n
    \n
    \n
    \n
    \n
    \n
    \n
    "},{"text":"Representative projects ","content":"
    \n
    \n
    \n
    \n
    \n
    \n
    \n
    \n
    \n
    \n
    \n
    "}],"salaryRange":{"min":150000,"max":450000,"currency":"USD","interval":"per-year-salary"},"text":"Research Scientist, Agentic Data & Benchmarking","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"
    \n
    \n

    About the Institute of Foundation Models 

    \n
    \n
    \n

    The Institute of Foundation Models (IFM) is a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. 

    \n
    \n
    \n

    As part of our team, you'll work at the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You'll help build groundbreaking AI systems with the potential to reshape entire industries, and contribute to establishing MBZUAI as a global hub for high-performance computing and deep learning. 

    \n
    \n
    \n

    About the role 

    \n
    \n
    \n

    The Agents team trains advanced agentic language models that use reasoning and tool use to complete real tasks on a computer. This is a specialist role at the center of the loop that drives those models: the data we train on and the benchmarks we measure against. 

    \n
    \n
    \n

    You'll own the agentic data pipeline end-to-end — sourcing and generating high-quality trajectories, tool-use data, and RL environments — and the evaluation suite that tells us, rigorously and reproducibly, what our agents can actually do. These two halves are inseparable: benchmarks expose where models fail, and targeted data closes the gap. The agents are only as good as the data they learn from and the evals that keep us honest, and this role owns both. 

    \n
    \n
    \n

    This is a research scientist position for someone who wants depth in data and measurement rather than breadth across the whole stack. You should be the kind of person who reads through datasets line by line, distrusts a metric until it's been validated, and gets satisfaction from making an eval suite that nobody questions. 

    \n
    \n
    ","descriptionBodyPlain":"","hostedUrl":"https://jobs.lever.co/ifm-us/ab7fbd2c-f809-4f08-ab53-3e666c9792eb","applyUrl":"https://jobs.lever.co/ifm-us/ab7fbd2c-f809-4f08-ab53-3e666c9792eb/apply"},{"additionalPlain":"Visa Sponsorship\nThis position is eligible for visa sponsorship.\n \nBenefits Include\n*Comprehensive medical, dental, and vision benefits \n *Bonus\n*401K Plan\n*Generous paid time off, sick leave and holidays\n*Paid Parental Leave\n*Employee Assistance Program\n*Life insurance and disability\n","additional":"
    Visa Sponsorship
    \n
    This position is eligible for visa sponsorship.
    \n
     
    \n
    Benefits Include
    \n
    *Comprehensive medical, dental, and vision benefits 
    \n
     *Bonus
    \n
    *401K Plan
    \n
    *Generous paid time off, sick leave and holidays
    \n
    *Paid Parental Leave
    \n
    *Employee Assistance Program
    \n
    *Life insurance and disability
    ","categories":{"location":"Sunnyvale, CA","team":"Engineering","allLocations":["Sunnyvale, CA"]},"createdAt":1772500202035,"descriptionPlain":"About the Institute of Foundation Models\nThe Institute of Foundation Models (IFM) designs and operates ultra-scale GPU supercomputing systems to train next-generation foundation models. We believe performance, fault tolerance, and scalability are co-designed across model architecture, communication systems, runtime, and hardware topology.\nThis role sits at the core of that effort — driving communication performance, distributed reliability, and cross-layer optimization for large-scale training workloads.\n \nThe Mission\nWe are looking for a deeply technical engineer to co-design and optimize the communication stack for large-scale distributed training, including hybrid parallelism and Mixture-of-Experts (MoE) workloads.\nThis is not a network operations role. This is a systems-level engineering position focused on performance engineering, distributed debugging, and communication-runtime co-design.\n·       Design and optimize expert-parallel and hybrid-parallel communication patterns\n·       Drive high-performance hierarchical collectives for MoE workloads\n·       Co-design runtime orchestration with communication topology awareness\n·       Reduce tail latency and improve determinism across thousands of GPUs\n·       Architect fault-tolerant distributed execution under real-world cluster failures\nCore Technical Scope\n·       Communication-compute overlap and topology-aware collective optimization\n·       Deep debugging of NCCL, RDMA, and custom communication layers\n·       Hybrid expert parallel strategies in modern large-scale MoE systems\n·       Elastic and resilient distributed job orchestration concepts\n·       Congestion analysis and routing optimization across InfiniBand/RoCE fabrics\n·       Microbenchmarking and performance modeling for communication-heavy workloads\nExpected Technical Depth\n·       Hybrid expert parallel communication for Mixture-of-Experts training\n·       Scaling behavior under network pressure\n·       Distributed orchestration for elastic, large-scale training\n·       Fault detection and recovery in distributed GPU workloads\n·       Cross-layer bottlenecks: GPU ↔ NIC ↔ PCIe ↔ NVSwitch ↔ Fabric ↔ Scheduler\nRequired Background\n·       Experience optimizing distributed training at 1,000+ GPU scale (or equivalent depth)\n·       Hands-on expertise with RDMA, InfiniBand, RoCE, and GPUDirect RDMA\n·       Deep familiarity with NCCL and/or UCX internals\n·       Strong systems programming ability (C/C++, Rust, or Go)\n·       Strong familiarity with modern model training frameworks such as PyTorch\n·       Ability to troubleshoot and profile training performance issues related to communication bottlenecks\n·       Ability to translate research ideas into production-grade optimizations\n·       Experience debugging distributed hangs, desynchronization, and performance regressions\nWhat We Mean by \"Hardcore\"\n·       You can explain why an communication degrades at scale and how to fix it\n·       You have improved real cluster throughput via communication redesign\n·       You can trace a distributed hang across ranks and identify the root cause\n·       You are comfortable working at the boundary between hardware and runtime\nApplication Requirements\n·       Include a link to your GitHub (required)\n·       Provide links to relevant distributed systems, HPC, or large-scale training projects\n·       Include a list of publications and/or public technical reports (if applicable)\n·       Describe the hardest distributed debugging problem you solved\n·       Include measurable performance improvements you have delivered\nAcademic Qualifications\nMaster’s, or Bachelor’s + 1 year of relevant experience.\n","description":"
    About the Institute of Foundation Models
    \n
    The Institute of Foundation Models (IFM) designs and operates ultra-scale GPU supercomputing systems to train next-generation foundation models. We believe performance, fault tolerance, and scalability are co-designed across model architecture, communication systems, runtime, and hardware topology.
    \n
    This role sits at the core of that effort — driving communication performance, distributed reliability, and cross-layer optimization for large-scale training workloads.
    \n
     
    \n
    The Mission
    \n
    We are looking for a deeply technical engineer to co-design and optimize the communication stack for large-scale distributed training, including hybrid parallelism and Mixture-of-Experts (MoE) workloads.
    \n
    This is not a network operations role. This is a systems-level engineering position focused on performance engineering, distributed debugging, and communication-runtime co-design.
    \n
    ·       Design and optimize expert-parallel and hybrid-parallel communication patterns
    \n
    ·       Drive high-performance hierarchical collectives for MoE workloads
    \n
    ·       Co-design runtime orchestration with communication topology awareness
    \n
    ·       Reduce tail latency and improve determinism across thousands of GPUs
    \n
    ·       Architect fault-tolerant distributed execution under real-world cluster failures
    \n
    Core Technical Scope
    \n
    ·       Communication-compute overlap and topology-aware collective optimization
    \n
    ·       Deep debugging of NCCL, RDMA, and custom communication layers
    \n
    ·       Hybrid expert parallel strategies in modern large-scale MoE systems
    \n
    ·       Elastic and resilient distributed job orchestration concepts
    \n
    ·       Congestion analysis and routing optimization across InfiniBand/RoCE fabrics
    \n
    ·       Microbenchmarking and performance modeling for communication-heavy workloads
    \n
    Expected Technical Depth
    \n
    ·       Hybrid expert parallel communication for Mixture-of-Experts training
    \n
    ·       Scaling behavior under network pressure
    \n
    ·       Distributed orchestration for elastic, large-scale training
    \n
    ·       Fault detection and recovery in distributed GPU workloads
    \n
    ·       Cross-layer bottlenecks: GPU ↔ NIC ↔ PCIe ↔ NVSwitch ↔ Fabric ↔ Scheduler
    \n
    Required Background
    \n
    ·       Experience optimizing distributed training at 1,000+ GPU scale (or equivalent depth)
    \n
    ·       Hands-on expertise with RDMA, InfiniBand, RoCE, and GPUDirect RDMA
    \n
    ·       Deep familiarity with NCCL and/or UCX internals
    \n
    ·       Strong systems programming ability (C/C++, Rust, or Go)
    \n
    ·       Strong familiarity with modern model training frameworks such as PyTorch
    \n
    ·       Ability to troubleshoot and profile training performance issues related to communication bottlenecks
    \n
    ·       Ability to translate research ideas into production-grade optimizations
    \n
    ·       Experience debugging distributed hangs, desynchronization, and performance regressions
    \n
    What We Mean by \"Hardcore\"
    \n
    ·       You can explain why an communication degrades at scale and how to fix it
    \n
    ·       You have improved real cluster throughput via communication redesign
    \n
    ·       You can trace a distributed hang across ranks and identify the root cause
    \n
    ·       You are comfortable working at the boundary between hardware and runtime
    \n
    Application Requirements
    \n
    ·       Include a link to your GitHub (required)
    \n
    ·       Provide links to relevant distributed systems, HPC, or large-scale training projects
    \n
    ·       Include a list of publications and/or public technical reports (if applicable)
    \n
    ·       Describe the hardest distributed debugging problem you solved
    \n
    ·       Include measurable performance improvements you have delivered
    \n
    Academic Qualifications
    \n
    Master’s, or Bachelor’s + 1 year of relevant experience.
    ","id":"0d6c2a0b-1a84-4ddc-ae0b-a13eb5730812","lists":[],"salaryRange":{"min":200000,"max":400000,"currency":"USD","interval":"per-year-salary"},"text":"Senior Distributed Systems Engineer","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"
    About the Institute of Foundation Models
    \n
    The Institute of Foundation Models (IFM) designs and operates ultra-scale GPU supercomputing systems to train next-generation foundation models. We believe performance, fault tolerance, and scalability are co-designed across model architecture, communication systems, runtime, and hardware topology.
    \n
    This role sits at the core of that effort — driving communication performance, distributed reliability, and cross-layer optimization for large-scale training workloads.
    \n
     
    \n
    The Mission
    \n
    We are looking for a deeply technical engineer to co-design and optimize the communication stack for large-scale distributed training, including hybrid parallelism and Mixture-of-Experts (MoE) workloads.
    \n
    This is not a network operations role. This is a systems-level engineering position focused on performance engineering, distributed debugging, and communication-runtime co-design.
    \n
    ·       Design and optimize expert-parallel and hybrid-parallel communication patterns
    \n
    ·       Drive high-performance hierarchical collectives for MoE workloads
    \n
    ·       Co-design runtime orchestration with communication topology awareness
    \n
    ·       Reduce tail latency and improve determinism across thousands of GPUs
    \n
    ·       Architect fault-tolerant distributed execution under real-world cluster failures
    \n
    Core Technical Scope
    \n
    ·       Communication-compute overlap and topology-aware collective optimization
    \n
    ·       Deep debugging of NCCL, RDMA, and custom communication layers
    \n
    ·       Hybrid expert parallel strategies in modern large-scale MoE systems
    \n
    ·       Elastic and resilient distributed job orchestration concepts
    \n
    ·       Congestion analysis and routing optimization across InfiniBand/RoCE fabrics
    \n
    ·       Microbenchmarking and performance modeling for communication-heavy workloads
    \n
    Expected Technical Depth
    \n
    ·       Hybrid expert parallel communication for Mixture-of-Experts training
    \n
    ·       Scaling behavior under network pressure
    \n
    ·       Distributed orchestration for elastic, large-scale training
    \n
    ·       Fault detection and recovery in distributed GPU workloads
    \n
    ·       Cross-layer bottlenecks: GPU ↔ NIC ↔ PCIe ↔ NVSwitch ↔ Fabric ↔ Scheduler
    \n
    Required Background
    \n
    ·       Experience optimizing distributed training at 1,000+ GPU scale (or equivalent depth)
    \n
    ·       Hands-on expertise with RDMA, InfiniBand, RoCE, and GPUDirect RDMA
    \n
    ·       Deep familiarity with NCCL and/or UCX internals
    \n
    ·       Strong systems programming ability (C/C++, Rust, or Go)
    \n
    ·       Strong familiarity with modern model training frameworks such as PyTorch
    \n
    ·       Ability to troubleshoot and profile training performance issues related to communication bottlenecks
    \n
    ·       Ability to translate research ideas into production-grade optimizations
    \n
    ·       Experience debugging distributed hangs, desynchronization, and performance regressions
    \n
    What We Mean by \"Hardcore\"
    \n
    ·       You can explain why an communication degrades at scale and how to fix it
    \n
    ·       You have improved real cluster throughput via communication redesign
    \n
    ·       You can trace a distributed hang across ranks and identify the root cause
    \n
    ·       You are comfortable working at the boundary between hardware and runtime
    \n
    Application Requirements
    \n
    ·       Include a link to your GitHub (required)
    \n
    ·       Provide links to relevant distributed systems, HPC, or large-scale training projects
    \n
    ·       Include a list of publications and/or public technical reports (if applicable)
    \n
    ·       Describe the hardest distributed debugging problem you solved
    \n
    ·       Include measurable performance improvements you have delivered
    \n
    Academic Qualifications
    \n
    Master’s, or Bachelor’s + 1 year of relevant experience.
    ","descriptionBodyPlain":"About the Institute of Foundation Models\nThe Institute of Foundation Models (IFM) designs and operates ultra-scale GPU supercomputing systems to train next-generation foundation models. We believe performance, fault tolerance, and scalability are co-designed across model architecture, communication systems, runtime, and hardware topology.\nThis role sits at the core of that effort — driving communication performance, distributed reliability, and cross-layer optimization for large-scale training workloads.\n \nThe Mission\nWe are looking for a deeply technical engineer to co-design and optimize the communication stack for large-scale distributed training, including hybrid parallelism and Mixture-of-Experts (MoE) workloads.\nThis is not a network operations role. This is a systems-level engineering position focused on performance engineering, distributed debugging, and communication-runtime co-design.\n·       Design and optimize expert-parallel and hybrid-parallel communication patterns\n·       Drive high-performance hierarchical collectives for MoE workloads\n·       Co-design runtime orchestration with communication topology awareness\n·       Reduce tail latency and improve determinism across thousands of GPUs\n·       Architect fault-tolerant distributed execution under real-world cluster failures\nCore Technical Scope\n·       Communication-compute overlap and topology-aware collective optimization\n·       Deep debugging of NCCL, RDMA, and custom communication layers\n·       Hybrid expert parallel strategies in modern large-scale MoE systems\n·       Elastic and resilient distributed job orchestration concepts\n·       Congestion analysis and routing optimization across InfiniBand/RoCE fabrics\n·       Microbenchmarking and performance modeling for communication-heavy workloads\nExpected Technical Depth\n·       Hybrid expert parallel communication for Mixture-of-Experts training\n·       Scaling behavior under network pressure\n·       Distributed orchestration for elastic, large-scale training\n·       Fault detection and recovery in distributed GPU workloads\n·       Cross-layer bottlenecks: GPU ↔ NIC ↔ PCIe ↔ NVSwitch ↔ Fabric ↔ Scheduler\nRequired Background\n·       Experience optimizing distributed training at 1,000+ GPU scale (or equivalent depth)\n·       Hands-on expertise with RDMA, InfiniBand, RoCE, and GPUDirect RDMA\n·       Deep familiarity with NCCL and/or UCX internals\n·       Strong systems programming ability (C/C++, Rust, or Go)\n·       Strong familiarity with modern model training frameworks such as PyTorch\n·       Ability to troubleshoot and profile training performance issues related to communication bottlenecks\n·       Ability to translate research ideas into production-grade optimizations\n·       Experience debugging distributed hangs, desynchronization, and performance regressions\nWhat We Mean by \"Hardcore\"\n·       You can explain why an communication degrades at scale and how to fix it\n·       You have improved real cluster throughput via communication redesign\n·       You can trace a distributed hang across ranks and identify the root cause\n·       You are comfortable working at the boundary between hardware and runtime\nApplication Requirements\n·       Include a link to your GitHub (required)\n·       Provide links to relevant distributed systems, HPC, or large-scale training projects\n·       Include a list of publications and/or public technical reports (if applicable)\n·       Describe the hardest distributed debugging problem you solved\n·       Include measurable performance improvements you have delivered\nAcademic Qualifications\nMaster’s, or Bachelor’s + 1 year of relevant experience.\n","hostedUrl":"https://jobs.lever.co/ifm-us/0d6c2a0b-1a84-4ddc-ae0b-a13eb5730812","applyUrl":"https://jobs.lever.co/ifm-us/0d6c2a0b-1a84-4ddc-ae0b-a13eb5730812/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full-time","location":"Abu Dhabi","team":"Engineering","allLocations":["Abu Dhabi"]},"createdAt":1750081365958,"descriptionPlain":"About the Institute of Foundation Models\nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n\nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n\n\nThe Role \nThe Senior Fullstack Engineer will play a central role in developing and maintaining both backend and frontend components of our AI platforms, tools, and products. You will be responsible for building scalable APIs, managing data flows, and delivering user-friendly web and mobile applications. This position requires expertise across multiple technology stacks, with a focus on Python-based backend development and modern frontend frameworks. You will work closely with AI researchers, product managers, and design teams to transform cutting-edge AI research into robust and accessible applications.\n","description":"
    About the Institute of Foundation Models
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.


    The Role
    The Senior Fullstack Engineer will play a central role in developing and maintaining both backend and frontend components of our AI platforms, tools, and products. You will be responsible for building scalable APIs, managing data flows, and delivering user-friendly web and mobile applications. This position requires expertise across multiple technology stacks, with a focus on Python-based backend development and modern frontend frameworks. You will work closely with AI researchers, product managers, and design teams to transform cutting-edge AI research into robust and accessible applications.
    ","id":"1e7c8417-5b8c-45be-827e-77a8df2d60f7","lists":[{"text":"Key Responsibilities","content":"
  • Design, develop, and maintain backend services and RESTful APIs using Python frameworks such as FastAPI.
  • Build data processing pipelines, integrate with databases, and ensure secure and efficient data management.
  • Design and implement frontend web applications using modern frameworks such as Vue.js, React, or Next.js.
  • Develop mobile applications using Flutter, delivering consistent cross-platform user experiences.
  • Collaborate with AI research teams to integrate model inference, data visualization, and AI feature embedding into products.
  • Write clean, maintainable, and well-documented code following industry best practices.
  • Optimize application performance, scalability, and security across backend and frontend systems.
  • Manage database design, optimization, and queries using PostgreSQL and SQL-based systems.
  • Develop CI/CD pipelines to streamline deployment and testing processes.
  • Troubleshoot and resolve technical issues across the full software stack.
  • Strong proficiency in Python backend development, particularly with FastAPI or similar frameworks.
  • Solid understanding of relational databases (PostgreSQL), SQL queries, and data schema design.
  • Extensive experience with modern frontend development using Vue.js, React, Next.js, or similar frameworks.
  • Proficiency in Flutter for cross-platform mobile app development.
  • Strong skills in JavaScript, HTML5, and CSS3 for responsive web application design.
  • Experience with RESTful API design, authentication, and security best practices.
  • Familiarity with version control systems (Git), Docker, and cloud deployment pipelines.
  • Strong debugging, troubleshooting, and problem-solving skills.
  • Excellent communication and collaboration abilities in cross-functional engineering teams.

    • "},{"text":"Academic Qualifications","content":"
  • Bachelor’s degree in Computer Science, Software Engineering, or a related technical field required.
  • Master’s degree or equivalent experience in Fullstack Development or Systems Engineering preferred.
    • "},{"text":"Professional Experience - Required","content":"
  • Strong proficiency in Python backend development, particularly with FastAPI or similar frameworks.
  • Solid understanding of relational databases (PostgreSQL), SQL queries, and data schema design.
  • Extensive experience with modern frontend development using Vue.js, React, Next.js, or similar frameworks.
  • Proficiency in Flutter for cross-platform mobile app development.
  • Strong skills in JavaScript, HTML5, and CSS3 for responsive web application design.
  • Experience with RESTful API design, authentication, and security best practices.
  • Familiarity with version control systems (Git), Docker, and cloud deployment pipelines.
  • Strong debugging, troubleshooting, and problem-solving skills.
  • Excellent communication and collaboration abilities in cross-functional engineering teams.
    • "},{"text":"Professional Experience - Preferred","content":"
  • Experience integrating AI/ML models or AI-driven features into web and mobile applications.
  • Familiarity with cloud platforms (AWS, Azure, GCP) and Kubernetes-based deployments.
  • Knowledge of real-time communication protocols (WebSockets, gRPC).
  • Experience building admin dashboards, data visualization tools, or annotation platforms.
  • Experience working in research or academic environments with interdisciplinary teams.
    • "}],"text":"Senior Fullstack Engineer","country":"AE","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"
    About the Institute of Foundation Models
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.


    The Role
    The Senior Fullstack Engineer will play a central role in developing and maintaining both backend and frontend components of our AI platforms, tools, and products. You will be responsible for building scalable APIs, managing data flows, and delivering user-friendly web and mobile applications. This position requires expertise across multiple technology stacks, with a focus on Python-based backend development and modern frontend frameworks. You will work closely with AI researchers, product managers, and design teams to transform cutting-edge AI research into robust and accessible applications.
    ","descriptionBodyPlain":"About the Institute of Foundation Models\nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n\nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n\n\nThe Role \nThe Senior Fullstack Engineer will play a central role in developing and maintaining both backend and frontend components of our AI platforms, tools, and products. You will be responsible for building scalable APIs, managing data flows, and delivering user-friendly web and mobile applications. This position requires expertise across multiple technology stacks, with a focus on Python-based backend development and modern frontend frameworks. You will work closely with AI researchers, product managers, and design teams to transform cutting-edge AI research into robust and accessible applications.\n","hostedUrl":"https://jobs.lever.co/ifm-us/1e7c8417-5b8c-45be-827e-77a8df2d60f7","applyUrl":"https://jobs.lever.co/ifm-us/1e7c8417-5b8c-45be-827e-77a8df2d60f7/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full-time","location":"Abu Dhabi","team":"Engineering","allLocations":["Abu Dhabi"]},"createdAt":1762190133112,"descriptionPlain":"About the Institute of Foundation Models (IFM)\n\nThe Institute of Foundation Models is a dedicated research lab for building, understanding, deploying, and risk-managing large-scale AI systems. We drive innovation in foundation models and their operationalization, empowering research, education, and industry adoption through scalable infrastructure and real-world applications.\nAs part of our engineering team, you will operate at the intersection of machine learning and systems design — building the cloud, orchestration, and deployment layers that power the next generation of intelligent applications at MBZUAI. You’ll work alongside world-class AI researchers and engineers to productionize LLMs, voice models, and multimodal systems at scale.\n\nThe Role\n\nAs a Senior MLOps Engineer, you will design, build, and maintain robust ML(Machine Learning) infrastructure across training, inference, and deployment pipelines. You will take ownership of the model lifecycle — from data ingestion to real-time serving — and ensure our LLM and speech models are deployed efficiently, securely, and reproducibly in Kubernetes-based environments.\nThis position requires deep hands-on experience with Kubernetes (EKS), Helm, AWS cloud infrastructure, and modern MLOps toolchains (e.g., vLLM, SGLang, OpenWebUI, Weights & Biases, MLflow). Familiarity with speech/voice AI frameworks like ElevenLabs, Whisper, and RVC is also valuable.\n","description":"
    About the Institute of Foundation Models (IFM)

    The Institute of Foundation Models is a dedicated research lab for building, understanding, deploying, and risk-managing large-scale AI systems. We drive innovation in foundation models and their operationalization, empowering research, education, and industry adoption through scalable infrastructure and real-world applications.
    As part of our engineering team, you will operate at the intersection of machine learning and systems design — building the cloud, orchestration, and deployment layers that power the next generation of intelligent applications at MBZUAI. You’ll work alongside world-class AI researchers and engineers to productionize LLMs, voice models, and multimodal systems at scale.

    The Role

    As a Senior MLOps Engineer, you will design, build, and maintain robust ML(Machine Learning) infrastructure across training, inference, and deployment pipelines. You will take ownership of the model lifecycle — from data ingestion to real-time serving — and ensure our LLM and speech models are deployed efficiently, securely, and reproducibly in Kubernetes-based environments.
    This position requires deep hands-on experience with Kubernetes (EKS), Helm, AWS cloud infrastructure, and modern MLOps toolchains (e.g., vLLM, SGLang, OpenWebUI, Weights & Biases, MLflow). Familiarity with speech/voice AI frameworks like ElevenLabs, Whisper, and RVC is also valuable.
    ","id":"5f0feab3-1309-4c24-a703-ed1993c448b9","lists":[{"text":"Key Responsibilities","content":"
  • Design and manage scalable ML infrastructure on AWS using EKS, EC2, RDS, S3, and IAM-based access control.
  • Build and maintain Kubernetes deployments for LLM and TTS inference using Helm, ArgoCD, and Prometheus/Grafana monitoring.
  • Implement and optimize model serving pipelines using vLLM, SGLang, TensorRT, or similar frameworks for high-throughput inference.
  • Develop CI/CD and MLOps automation for data versioning, model validation, and deployment (GitHub Actions, Jenkins, or AWS CodePipeline).
  • Integrate OpenWebUI, Gradio, or similar UIs for user-facing model demos and internal evaluation tools.
  • Collaborate with ML researchers to productize models — including TTS (e.g., ElevenLabs API), ASR (Whisper), and LLM-based chat systems.
  • Ensure observability, cost optimization, and reliability of cloud resources across multiple environments.
  • Contribute to internal tools for dataset curation, model monitoring, and retraining pipelines.
  • Maintain infrastructure-as-code using Terraform and Helm charts for reproducibility and governance.
  • Support real-time multimodal workloads (voice, text, vision) across inference clusters.
    • "},{"text":"Academic Qualifications","content":"
  • 4+ years of experience in MLOps, DevOps, or Cloud Infrastructure Engineering for ML systems.
  • Strong proficiency in Kubernetes, Helm, and container orchestration.
  • Experience deploying ML models via vLLM, SGLang, TensorRT, or Ray Serve.
  • Proficiency with AWS services (EKS, EC2, S3, RDS, CloudWatch, IAM).
  • Solid experience with Python, Docker, Git, and CI/CD pipelines.
  • Strong understanding of model lifecycle management, data pipelines, and observability tools (Grafana, Prometheus, Loki).
  • Excellent collaboration skills with ML researchers and software engineers.
    • "},{"text":"Professional Experience – Preferred","content":"
  • Extensive Experience with vLLM, K8s, Elevenlabs, Whisper, Gradio/OpenWebUI, or custom TTS/ASR model hosting.
  • Familiarity with multi-GPU scheduling, NCCL optimization, and HPC cluster integration.
  • Knowledge of security, cost management, and network policy in multi-tenant Kubernetes clusters and cloudflare systems.
  • Prior work in LLM deployment, fine-tuning pipelines, or foundation model research.
  • Exposure to data governance and responsible AI operations in research or enterprise settings.
    • "}],"text":"Senior MLOps Engineer","country":"AE","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"
    About the Institute of Foundation Models (IFM)

    The Institute of Foundation Models is a dedicated research lab for building, understanding, deploying, and risk-managing large-scale AI systems. We drive innovation in foundation models and their operationalization, empowering research, education, and industry adoption through scalable infrastructure and real-world applications.
    As part of our engineering team, you will operate at the intersection of machine learning and systems design — building the cloud, orchestration, and deployment layers that power the next generation of intelligent applications at MBZUAI. You’ll work alongside world-class AI researchers and engineers to productionize LLMs, voice models, and multimodal systems at scale.

    The Role

    As a Senior MLOps Engineer, you will design, build, and maintain robust ML(Machine Learning) infrastructure across training, inference, and deployment pipelines. You will take ownership of the model lifecycle — from data ingestion to real-time serving — and ensure our LLM and speech models are deployed efficiently, securely, and reproducibly in Kubernetes-based environments.
    This position requires deep hands-on experience with Kubernetes (EKS), Helm, AWS cloud infrastructure, and modern MLOps toolchains (e.g., vLLM, SGLang, OpenWebUI, Weights & Biases, MLflow). Familiarity with speech/voice AI frameworks like ElevenLabs, Whisper, and RVC is also valuable.
    ","descriptionBodyPlain":"About the Institute of Foundation Models (IFM)\n\nThe Institute of Foundation Models is a dedicated research lab for building, understanding, deploying, and risk-managing large-scale AI systems. We drive innovation in foundation models and their operationalization, empowering research, education, and industry adoption through scalable infrastructure and real-world applications.\nAs part of our engineering team, you will operate at the intersection of machine learning and systems design — building the cloud, orchestration, and deployment layers that power the next generation of intelligent applications at MBZUAI. You’ll work alongside world-class AI researchers and engineers to productionize LLMs, voice models, and multimodal systems at scale.\n\nThe Role\n\nAs a Senior MLOps Engineer, you will design, build, and maintain robust ML(Machine Learning) infrastructure across training, inference, and deployment pipelines. You will take ownership of the model lifecycle — from data ingestion to real-time serving — and ensure our LLM and speech models are deployed efficiently, securely, and reproducibly in Kubernetes-based environments.\nThis position requires deep hands-on experience with Kubernetes (EKS), Helm, AWS cloud infrastructure, and modern MLOps toolchains (e.g., vLLM, SGLang, OpenWebUI, Weights & Biases, MLflow). Familiarity with speech/voice AI frameworks like ElevenLabs, Whisper, and RVC is also valuable.\n","hostedUrl":"https://jobs.lever.co/ifm-us/5f0feab3-1309-4c24-a703-ed1993c448b9","applyUrl":"https://jobs.lever.co/ifm-us/5f0feab3-1309-4c24-a703-ed1993c448b9/apply"},{"additionalPlain":"Benefits Include\n*Comprehensive medical, dental, and vision benefits \n *Bonus\n*401K Plan\n*Generous paid time off, sick leave and holidays\n*Paid Parental Leave\n*Employee Assistance Program\n*Life insurance and disability\n","additional":"
    Benefits Include
    \n
    *Comprehensive medical, dental, and vision benefits 
    \n
     *Bonus
    \n
    *401K Plan
    \n
    *Generous paid time off, sick leave and holidays
    \n
    *Paid Parental Leave
    \n
    *Employee Assistance Program
    \n
    *Life insurance and disability
    ","categories":{"commitment":"Full-time","location":"Sunnyvale, CA","team":"Product","allLocations":["Sunnyvale, CA"]},"createdAt":1765585213916,"descriptionPlain":"About the Institute of Foundation Models \nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. \nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. \n \nThe Role \nAs the Senior Product Manager for our teams, you will work within the extreme ambiguity of frontier research and impose the rigor and focus required for high-velocity delivery. You will partner with Lab Leadership to define the product vision for our model families (LLMs, reasoning, world models) and the applications built upon them. This product vision and leadership will be integral to achieving successful, high-quality releases of state-of-the-art models for the global community.  \nConcurrently, you will lay the groundwork for our Product Management organization. You will define the holistic product vision for the lab, determining not just what we build, but who we build it for. As the team scales, you will hire, mentor, and manage the Product Managers responsible for individual model families, setting the standard for excellence across the board. \n","description":"
    About the Institute of Foundation Models 
    \n
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. 
    \n
    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. 
    \n
     
    \n
    The Role 
    \n
    As the Senior Product Manager for our teams, you will work within the extreme ambiguity of frontier research and impose the rigor and focus required for high-velocity delivery. You will partner with Lab Leadership to define the product vision for our model families (LLMs, reasoning, world models) and the applications built upon them. This product vision and leadership will be integral to achieving successful, high-quality releases of state-of-the-art models for the global community.  
    \n
    Concurrently, you will lay the groundwork for our Product Management organization. You will define the holistic product vision for the lab, determining not just what we build, but who we build it for. As the team scales, you will hire, mentor, and manage the Product Managers responsible for individual model families, setting the standard for excellence across the board. 
    ","id":"f40bfa5f-189b-4174-9f5a-3902d618db1e","lists":[{"text":"Key Responsilities","content":"\n
  • Product Vision & Strategy 
    • \n
  • Define the \"North Star\": Partner with Lab Leadership to synthesize disparate research tracks into a cohesive, lab-wide Product Strategy. Ensure our various model families (LLMs, reasoning, world models) tell a unified story. 
    • \n
  • User-Centric Roadmap: You are the voice of the user in the research lab. Whether our target is an academic researcher, an open-source hacker, or an enterprise CTO, you must define the specific personas for each model and ensure the product roadmap solves their actual problems (not just theoretical ones). 
    • \n
  • Ecosystem Thinking: Treat the model as a platform. Define the requirements for model capabilities, serving endpoints, APIs, and demo applications to ensure our models are usable, accessible, and impactful from Day 1. 
    • \n\n
    Execution & Shipping 
    \n\n
  • Drive Shipping as a Habit: Instill a culture of relentless execution. converting \"research timelines\" (flexible) into \"product timelines\" (committed). Manage the tension between research exploration and shipping deadlines. 
    • \n
  • Technical Translation: Bridge the gap between the Research, Data, and Engineering teams. Translate complex technical constraints (compute budgets, data availability) into clear trade-off decisions. 
    • \n
  • Force-Rank Priorities: Ruthlessly prioritize features and evaluations to ensure the team is always working on the critical path to release. 
    • \n
  • Own the Release Criteria: Define what \"Done\" looks like. Establish and enforce the benchmarks for performance and safety required for a public release. 
    • \n
  • Cross-Functional Collaboration: Support the synchronization between Research, Engineering, Marketing, and Production. You help to ensure that engineering timelines, marketing beats, and model training schedules are aligned, preventing silos from slowing down the release. 
    • \n\n
    Organizational Leadership & Team Building 
    \n\n
  • Build the PM Engine: You will be the architect of the Product Management function and will define the operating principles for existing and future Product Managers. 
    • \n
  • Manage & Scale: As the team grows, you will transition into leading the Product Management organization, managing the Product Managers dedicated to specific model families. You will be responsible for their output, growth, and alignment with  IFM’s mission. 
    • \n
  • Storytelling & Influence: You are a strong communicator who can align executives, researchers, and partners around a clear narrative of why a product exists. You excel at turning ambiguity into prioritized backlogs, enforcing hard trade-offs, and driving tight experiment loops to get to the right answer faster.
    • \n\n
     
    \n
    Academic Qualifications 
    \n\n
  • A bachelor’s degree in Computer Science, Engineering, Physics, or a related technical field. (MBA or advanced technical degree is a plus, but shipping record matters more). 
    • \n\n
    Professional Experience - Minimum
    \n\n
  • 7+ years of relevant industry experience, with at least 3 years in Product Management for technical, backend, or platform products. 
    • \n
  • Proven \"Shipper\": You must have a portfolio of complex technical products you have successfully launched from 0 to 1. 
    • \n
  • Strategic & User Insight: Demonstrated ability to take a piece of complex technology and find its product-market fit. You can articulate why a user needs a specific feature and back it up with data or intuition. 
    • \n
  • Leadership Potential: Experience mentoring junior Product Managers or leading cross-functional initiatives. You are ready to build and lead a team. 
    • \n
  • Technical Fluency: You do not need to write the code, but you must understand the stack. You can discuss context windows, inference latency, and specific benchmarks with researchers without a translator. 
    • \n\n
    Professional Experience - Preferred
    \n\n
  • Foundation Model Experience: Experience working specifically with LLMs, Generative AI, or ML Infrastructure. 
    • \n
  • Research-to-Product Transition: Experience working in a research lab or R&D environment, specifically managing the transition of research artifacts into production-grade assets. 
    • \n
  • Open Source Strategy: Familiarity with the open-source AI ecosystem (Hugging Face, vLLM, etc.) and experience managing open-source community releases. 
    • \n
  • People Management: Prior experience directly managing Product Managers is a strong plus. 
    • \n"}],"salaryRange":{"min":150000,"max":350000,"currency":"USD","interval":"per-year-salary"},"text":"Senior Product Manager","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"
    About the Institute of Foundation Models 
    \n
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. 
    \n
    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. 
    \n
     
    \n
    The Role 
    \n
    As the Senior Product Manager for our teams, you will work within the extreme ambiguity of frontier research and impose the rigor and focus required for high-velocity delivery. You will partner with Lab Leadership to define the product vision for our model families (LLMs, reasoning, world models) and the applications built upon them. This product vision and leadership will be integral to achieving successful, high-quality releases of state-of-the-art models for the global community.  
    \n
    Concurrently, you will lay the groundwork for our Product Management organization. You will define the holistic product vision for the lab, determining not just what we build, but who we build it for. As the team scales, you will hire, mentor, and manage the Product Managers responsible for individual model families, setting the standard for excellence across the board. 
    ","descriptionBodyPlain":"About the Institute of Foundation Models \nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. \nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. \n \nThe Role \nAs the Senior Product Manager for our teams, you will work within the extreme ambiguity of frontier research and impose the rigor and focus required for high-velocity delivery. You will partner with Lab Leadership to define the product vision for our model families (LLMs, reasoning, world models) and the applications built upon them. This product vision and leadership will be integral to achieving successful, high-quality releases of state-of-the-art models for the global community.  \nConcurrently, you will lay the groundwork for our Product Management organization. You will define the holistic product vision for the lab, determining not just what we build, but who we build it for. As the team scales, you will hire, mentor, and manage the Product Managers responsible for individual model families, setting the standard for excellence across the board. \n","hostedUrl":"https://jobs.lever.co/ifm-us/f40bfa5f-189b-4174-9f5a-3902d618db1e","applyUrl":"https://jobs.lever.co/ifm-us/f40bfa5f-189b-4174-9f5a-3902d618db1e/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full-time","location":"Abu Dhabi","team":"Engineering","allLocations":["Abu Dhabi"]},"createdAt":1750082276097,"descriptionPlain":"About the Institute of Foundation Models\nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n\nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n\nThe Role\nAs a Senior Quality Assurance Engineer, you will play a critical role in ensuring the reliability, safety, and performance of our AI-driven products and software platforms. Unlike traditional QA roles, this position requires a deep understanding of both software testing methodologies and the unique challenges presented by AI systems, including model evaluation, fairness, robustness, and multi-modal feature testing. You will collaborate closely with cross-functional teams to develop comprehensive test strategies covering both AI components and conventional software systems. \n\nArabic language proficiency is preferred to support certain data and product validation tasks.\n","description":"
    About the Institute of Foundation Models
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.

    The Role
    As a Senior Quality Assurance Engineer, you will play a critical role in ensuring the reliability, safety, and performance of our AI-driven products and software platforms. Unlike traditional QA roles, this position requires a deep understanding of both software testing methodologies and the unique challenges presented by AI systems, including model evaluation, fairness, robustness, and multi-modal feature testing. You will collaborate closely with cross-functional teams to develop comprehensive test strategies covering both AI components and conventional software systems. 

    Arabic language proficiency is preferred to support certain data and product validation tasks.
    ","id":"33294091-c63a-458b-a40e-c1ebb9f3cce9","lists":[{"text":"Key Responsibilities","content":"
  • Design and implement comprehensive test plans and test cases for AI-powered applications, APIs, and platform features.
  • Develop automated testing frameworks for AI models, data pipelines, and software features, primarily leveraging Python.
  • Evaluate AI model outputs for correctness, fairness, robustness, and consistency across various tasks and datasets.
  • Collaborate with AI researchers, data scientists, and engineers to define testing metrics and acceptance criteria for AI models.
  • Conduct manual and exploratory testing where automation is insufficient, especially for AI feature behavior.
  • Perform end-to-end testing across distributed systems, APIs, databases, web applications, and model inference pipelines.
  • Implement performance testing for both AI inference and software systems to ensure responsiveness and scalability.
  • Develop continuous integration (CI) and continuous deployment (CD) pipelines to ensure reliable and repeatable testing processes.
  • Track, analyze, and report defects and quality metrics to stakeholders, driving root cause analysis and resolution.
  • Contribute to internal quality standards, best practices, and documentation to strengthen the QA function within IFM.
    • "},{"text":"Academic Qualifications","content":"
  • Bachelor’s degree in Computer Science, Software Engineering, AI, or a related technical field required.
  • Master’s degree or equivalent experience in AI systems, software testing, or quality assurance preferred.
    • "},{"text":"Professional Experience - Required","content":"
  • Extensive experience in software quality assurance, test automation, and validation of complex software systems.
  • Strong proficiency in Python, with hands-on experience in test automation frameworks such as PyTest or similar.
  • Understanding of AI/ML model testing challenges, including non-deterministic outputs, dataset biases, and model evaluation metrics.
  • Experience testing distributed systems, RESTful APIs, cloud-native applications, and microservices architectures.
  • Familiarity with CI/CD pipelines using tools such as Jenkins, GitLab CI, or GitHub Actions.
  • Strong analytical skills, attention to detail, and ability to identify edge cases and failure modes.
  • Excellent communication skills, with the ability to collaborate across multi-disciplinary teams.
    • "},{"text":"Professional Experience - Preferred","content":"
  • Experience testing AI models (LLMs, computer vision, multi-modal models) and AI-enhanced software features.
  • Proficiency with AI/ML libraries and frameworks such as TensorFlow, PyTorch, or Hugging Face for model validation.
  • Familiarity with data quality assurance, dataset validation, and annotation workflows.
  • Knowledge of cloud infrastructure platforms (AWS, Azure, GCP) and containerized deployments (Docker, Kubernetes).
  • Arabic language proficiency to assist in linguistic, data, or region-specific validation scenarios.
  • Contributions to open-source QA tools or AI testing frameworks.
    • "}],"text":"Senior Quality Assurance Engineer","country":"AE","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"
    About the Institute of Foundation Models
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.

    The Role
    As a Senior Quality Assurance Engineer, you will play a critical role in ensuring the reliability, safety, and performance of our AI-driven products and software platforms. Unlike traditional QA roles, this position requires a deep understanding of both software testing methodologies and the unique challenges presented by AI systems, including model evaluation, fairness, robustness, and multi-modal feature testing. You will collaborate closely with cross-functional teams to develop comprehensive test strategies covering both AI components and conventional software systems. 

    Arabic language proficiency is preferred to support certain data and product validation tasks.
    ","descriptionBodyPlain":"About the Institute of Foundation Models\nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n\nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n\nThe Role\nAs a Senior Quality Assurance Engineer, you will play a critical role in ensuring the reliability, safety, and performance of our AI-driven products and software platforms. Unlike traditional QA roles, this position requires a deep understanding of both software testing methodologies and the unique challenges presented by AI systems, including model evaluation, fairness, robustness, and multi-modal feature testing. You will collaborate closely with cross-functional teams to develop comprehensive test strategies covering both AI components and conventional software systems. \n\nArabic language proficiency is preferred to support certain data and product validation tasks.\n","hostedUrl":"https://jobs.lever.co/ifm-us/33294091-c63a-458b-a40e-c1ebb9f3cce9","applyUrl":"https://jobs.lever.co/ifm-us/33294091-c63a-458b-a40e-c1ebb9f3cce9/apply"},{"additionalPlain":"Visa Sponsorship\nThis position is eligible for visa sponsorship.\n\nBenefits Include\n*Comprehensive medical, dental, and vision benefits \n *Bonus\n*401K Plan\n*Generous paid time off, sick leave and holidays\n*Paid Parental Leave\n*Employee Assistance Program\n*Life insurance and disability\n\n\n","additional":"
    Visa Sponsorship
    This position is eligible for visa sponsorship.

    Benefits Include
    *Comprehensive medical, dental, and vision benefits 
     *Bonus
    *401K Plan
    *Generous paid time off, sick leave and holidays
    *Paid Parental Leave
    *Employee Assistance Program
    *Life insurance and disability


    ","categories":{"commitment":"Full-time","location":"Sunnyvale, CA","team":"Product","allLocations":["Sunnyvale, CA"]},"createdAt":1746122555541,"descriptionPlain":"About the Institute of Foundation Models\nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n\nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n\n\n\n\nThe Role\n \nAs the Technical Program Manager for our World Model team, you will be the operational backbone of IFM's most ambitious research frontier: PAN (Physical, Agentic, Nested). While most world models focus on generating static, visual 3D scenes, PAN is focused on interactive reasoning and long-horizon simulation with environments you can actually act in. \nWe are seeking a highly technical operator who is deeply passionate about the future of interactive AI and has been an avid user and follower of early generation models (e.g., Sora and similar platforms). You will impose the rigor required to scale PAN-v2, translating cutting-edge Generative Latent Prediction (GLP) research into clear, actionable training milestones. You will dive directly into the engine room by managing compute allocation, unblocking data pipelines, scaling our evaluation frameworks, and ensuring our researchers have the operational support they need to maintain high-velocity delivery. \n","description":"
    About the Institute of Foundation Models
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.



    The Role
    \n
     
    \n
    \n
    \n

    As the Technical Program Manager for our World Model team, you will be the operational backbone of IFM's most ambitious research frontier: PAN (Physical, Agentic, Nested). While most world models focus on generating static, visual 3D scenes, PAN is focused on interactive reasoning and long-horizon simulation with environments you can actually act in. 

    \n
    \n
    \n

    We are seeking a highly technical operator who is deeply passionate about the future of interactive AI and has been an avid user and follower of early generation models (e.g., Sora and similar platforms). You will impose the rigor required to scale PAN-v2, translating cutting-edge Generative Latent Prediction (GLP) research into clear, actionable training milestones. You will dive directly into the engine room by managing compute allocation, unblocking data pipelines, scaling our evaluation frameworks, and ensuring our researchers have the operational support they need to maintain high-velocity delivery. 

    \n
    \n
    ","id":"d16afc7e-b0f7-4133-95f6-d7bad27e27fa","lists":[{"text":"Key Responsibilities","content":"
    \n
    \n
    \n
    \n
    \n
    \n
    \n
    \n
    \n
    \n
    \n
    "},{"text":"Academic Qualifications","content":"
    A bachelor’s degree in Computer Science, Engineering, Physics, Information Technology, or a related technical field. 
    "},{"text":"Professional Experience - Minimum","content":"
    \n
    \n
    \n
      \n
    • \n

      5+ years of experience in Technical Program Management, Engineering Management, Product Management, deep R&D environments, or equivalent. 

      \n
      • \n\n
    \n
    \n
      \n
    • \n

      Technical Operator: You possess deep familiarity with the ML training lifecycle. You understand the difference between pre-training and inference, know what a checkpoint is, and have experience supporting large-scale distributed training runs. 

      \n
      • \n\n
    \n
    \n
    \n
    \n
      \n
    • \n

      Proven \"Shipper\": A portfolio of complex technical projects you have successfully managed from conception to release. 

      \n
      • \n\n
    \n
    \n
      \n
    • \n

      Operational Fluency: Strong working knowledge of project estimation, risk management, and issue tracking for highly complex, ambiguous technical systems. 

      \n
      • \n\n
    \n
    \n
    "},{"text":"Professional Experience - Preferred","content":"
    \n
    \n
    \n
    \n
    \n
    \n
    \n
    "}],"salaryRange":{"min":220000,"max":320000,"currency":"USD","interval":"per-year-salary"},"salaryDescription":"
    Compensation
    ","salaryDescriptionPlain":"Compensation\n","text":"Technical Program Manager – World Model","country":"US","workplaceType":"onsite","opening":"
    About the Institute of Foundation Models
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.


    ","openingPlain":"About the Institute of Foundation Models\nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n\nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n\n\n","descriptionBody":"
    The Role
    \n
     
    \n
    \n
    \n

    As the Technical Program Manager for our World Model team, you will be the operational backbone of IFM's most ambitious research frontier: PAN (Physical, Agentic, Nested). While most world models focus on generating static, visual 3D scenes, PAN is focused on interactive reasoning and long-horizon simulation with environments you can actually act in. 

    \n
    \n
    \n

    We are seeking a highly technical operator who is deeply passionate about the future of interactive AI and has been an avid user and follower of early generation models (e.g., Sora and similar platforms). You will impose the rigor required to scale PAN-v2, translating cutting-edge Generative Latent Prediction (GLP) research into clear, actionable training milestones. You will dive directly into the engine room by managing compute allocation, unblocking data pipelines, scaling our evaluation frameworks, and ensuring our researchers have the operational support they need to maintain high-velocity delivery. 

    \n
    \n
    ","descriptionBodyPlain":"The Role\n \nAs the Technical Program Manager for our World Model team, you will be the operational backbone of IFM's most ambitious research frontier: PAN (Physical, Agentic, Nested). While most world models focus on generating static, visual 3D scenes, PAN is focused on interactive reasoning and long-horizon simulation with environments you can actually act in. \nWe are seeking a highly technical operator who is deeply passionate about the future of interactive AI and has been an avid user and follower of early generation models (e.g., Sora and similar platforms). You will impose the rigor required to scale PAN-v2, translating cutting-edge Generative Latent Prediction (GLP) research into clear, actionable training milestones. You will dive directly into the engine room by managing compute allocation, unblocking data pipelines, scaling our evaluation frameworks, and ensuring our researchers have the operational support they need to maintain high-velocity delivery. \n","hostedUrl":"https://jobs.lever.co/ifm-us/d16afc7e-b0f7-4133-95f6-d7bad27e27fa","applyUrl":"https://jobs.lever.co/ifm-us/d16afc7e-b0f7-4133-95f6-d7bad27e27fa/apply"},{"additionalPlain":"Benefits Include\n*Comprehensive medical, dental, and vision benefits \n *Bonus\n*401K Plan\n*Generous paid time off, sick leave and holidays\n*Paid Parental Leave\n*Employee Assistance Program\n*Life insurance and disability\n","additional":"
    \n
    Benefits Include
    \n
    *Comprehensive medical, dental, and vision benefits 
    \n
     *Bonus
    \n
    *401K Plan
    \n
    *Generous paid time off, sick leave and holidays
    \n
    *Paid Parental Leave
    \n
    *Employee Assistance Program
    \n
    *Life insurance and disability
    \n
    ","categories":{"location":"Sunnyvale, CA","team":"Operations","allLocations":["Sunnyvale, CA"]},"createdAt":1775596952505,"descriptionPlain":"About the Institute of Foundation Models\nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n \nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n \nThe Role\nThis is a unique hybrid role designed for a versatile leader who can manage the transition to a new, larger office space and subsequently lead its long-term operations.\n \nPhase 1: Project Lead (Relocation & Build-Out)\nIn the first phase, you will serve as the central point of contact for our office expansion. You will act as the \"Lab’s Representative,\" ensuring our research lab is technically and physically equipped for our growing team.\n \nPhase 2: Facilities Governor (Long-term Operations)\nOnce the move is complete, you will transition into the primary steward of our expanded headquarters. You will be responsible for the ongoing maintenance, safety, and ensuring our environment remains a world-class hub for innovation.\n \nKey Responsibilities\nConstruction & Infrastructure Oversight: Partner with architects, General Contractors, and IT teams to ensure the build-out meets functional needs, including server rooms, high-speed wiring, AV systems, and security access controls.\nVendor & Budget Management: Source, vet, and manage contracts for movers, furniture suppliers (FF&E), and specialized equipment installers. Track expenses against the relocation budget and manage Tenant Improvement (TI) claims.\nHard Facilities Management: Oversee the maintenance and optimization of HVAC, plumbing, and electrical systems. Manage Building Automation Systems (BAS) for lighting, climate control, and energy efficiency.\nWorkplace Experience: Work closely with HR Ops to lead securing janitorial services vendors, office snack/supply logistics, and internal event setups to maintain a high-quality daily environment for the team.\nSecurity & Safety: Act as the primary Safety Officer; implement fire life safety plans and emergency protocols while ensuring strict OSHA compliance.\nSpace Utilization: Monitor how the new space is used as the team scales; propose and execute on data-driven reconfigurations to optimize collaboration.\nRequirements\n5+ years of experience in Facilities Management, Operations, or Construction Project Management, with a proven track record of leading commercial office relocations.\nTechnical Proficiency: Ability to read floor plans and blueprints; solid understanding of MEP (Mechanical, Electrical, Plumbing) and IT/AV infrastructure requirements.\nVendor Leadership: Demonstrated ability to manage complex multi-vendor environments and hold contractors to strict deliverables and timelines.\nCommunication: Strong negotiation skills and the ability to act as a bridge between technical contractors and executive leadership.\nAdaptability: Comfortable shifting from a high-intensity project management phase into a steady-state operational leadership role.\nLocal Presence: This role is based on-site at our Sunnyvale, CA location.\n \n","description":"
    \n
    About the Institute of Foundation Models
    \n
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.
    \n
     
    \n
    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.
    \n
     
    \n
    \n

    The Role

    \n

    This is a unique hybrid role designed for a versatile leader who can manage the transition to a new, larger office space and subsequently lead its long-term operations.

    \n

     

    \n

    Phase 1: Project Lead (Relocation & Build-Out)

    \n

    In the first phase, you will serve as the central point of contact for our office expansion. You will act as the \"Lab’s Representative,\" ensuring our research lab is technically and physically equipped for our growing team.

    \n

     

    \n

    Phase 2: Facilities Governor (Long-term Operations)

    \n

    Once the move is complete, you will transition into the primary steward of our expanded headquarters. You will be responsible for the ongoing maintenance, safety, and ensuring our environment remains a world-class hub for innovation.

    \n

     

    \n

    Key Responsibilities

    \n\n

    Requirements

    \n\n
    \n
     
    \n
    ","id":"f68bb57c-3c01-48f3-9ddf-44fd05212ab8","lists":[],"salaryRange":{"min":115000,"max":145000,"currency":"USD","interval":"per-year-salary"},"text":"Workplace Facilities Manager","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"
    \n
    About the Institute of Foundation Models
    \n
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.
    \n
     
    \n
    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.
    \n
     
    \n
    \n

    The Role

    \n

    This is a unique hybrid role designed for a versatile leader who can manage the transition to a new, larger office space and subsequently lead its long-term operations.

    \n

     

    \n

    Phase 1: Project Lead (Relocation & Build-Out)

    \n

    In the first phase, you will serve as the central point of contact for our office expansion. You will act as the \"Lab’s Representative,\" ensuring our research lab is technically and physically equipped for our growing team.

    \n

     

    \n

    Phase 2: Facilities Governor (Long-term Operations)

    \n

    Once the move is complete, you will transition into the primary steward of our expanded headquarters. You will be responsible for the ongoing maintenance, safety, and ensuring our environment remains a world-class hub for innovation.

    \n

     

    \n

    Key Responsibilities

    \n\n

    Requirements

    \n\n
    \n
     
    \n
    ","descriptionBodyPlain":"About the Institute of Foundation Models\nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n \nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n \nThe Role\nThis is a unique hybrid role designed for a versatile leader who can manage the transition to a new, larger office space and subsequently lead its long-term operations.\n \nPhase 1: Project Lead (Relocation & Build-Out)\nIn the first phase, you will serve as the central point of contact for our office expansion. You will act as the \"Lab’s Representative,\" ensuring our research lab is technically and physically equipped for our growing team.\n \nPhase 2: Facilities Governor (Long-term Operations)\nOnce the move is complete, you will transition into the primary steward of our expanded headquarters. You will be responsible for the ongoing maintenance, safety, and ensuring our environment remains a world-class hub for innovation.\n \nKey Responsibilities\nConstruction & Infrastructure Oversight: Partner with architects, General Contractors, and IT teams to ensure the build-out meets functional needs, including server rooms, high-speed wiring, AV systems, and security access controls.\nVendor & Budget Management: Source, vet, and manage contracts for movers, furniture suppliers (FF&E), and specialized equipment installers. Track expenses against the relocation budget and manage Tenant Improvement (TI) claims.\nHard Facilities Management: Oversee the maintenance and optimization of HVAC, plumbing, and electrical systems. Manage Building Automation Systems (BAS) for lighting, climate control, and energy efficiency.\nWorkplace Experience: Work closely with HR Ops to lead securing janitorial services vendors, office snack/supply logistics, and internal event setups to maintain a high-quality daily environment for the team.\nSecurity & Safety: Act as the primary Safety Officer; implement fire life safety plans and emergency protocols while ensuring strict OSHA compliance.\nSpace Utilization: Monitor how the new space is used as the team scales; propose and execute on data-driven reconfigurations to optimize collaboration.\nRequirements\n5+ years of experience in Facilities Management, Operations, or Construction Project Management, with a proven track record of leading commercial office relocations.\nTechnical Proficiency: Ability to read floor plans and blueprints; solid understanding of MEP (Mechanical, Electrical, Plumbing) and IT/AV infrastructure requirements.\nVendor Leadership: Demonstrated ability to manage complex multi-vendor environments and hold contractors to strict deliverables and timelines.\nCommunication: Strong negotiation skills and the ability to act as a bridge between technical contractors and executive leadership.\nAdaptability: Comfortable shifting from a high-intensity project management phase into a steady-state operational leadership role.\nLocal Presence: This role is based on-site at our Sunnyvale, CA location.\n \n","hostedUrl":"https://jobs.lever.co/ifm-us/f68bb57c-3c01-48f3-9ddf-44fd05212ab8","applyUrl":"https://jobs.lever.co/ifm-us/f68bb57c-3c01-48f3-9ddf-44fd05212ab8/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full-time","location":"Sunnyvale, CA","team":"Operations","allLocations":["Sunnyvale, CA"]},"createdAt":1774499731183,"descriptionPlain":"About the Institute of Foundation Models \nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.  \nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. \nPosition Summary \nWe are seeking a highly organized and proactive Workplace Operations Coordinator to be the backbone of our office. This role is crucial for ensuring the smooth daily operations of our organization by managing a wide range of administrative, financial, and people-focused tasks. The ideal candidate is a detail-oriented professional with excellent communication skills who can handle confidential information with discretion and positively influence our company culture. \nKey Responsibilities \nOffice Expansion & Relocation Support \nMove Coordination: Support the Operations team in the execution of the office relocation, assisting with equipment inventory, vendor scheduling, and on-site logistics. \n\n\n","description":"
    \n
    \n

    About the Institute of Foundation Models 

    \n
    \n
    \n

    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.  

    \n
    \n
    \n

    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. 

    \n
    \n
    \n

    Position Summary 

    \n
    \n
    \n

    We are seeking a highly organized and proactive Workplace Operations Coordinator to be the backbone of our office. This role is crucial for ensuring the smooth daily operations of our organization by managing a wide range of administrative, financial, and people-focused tasks. The ideal candidate is a detail-oriented professional with excellent communication skills who can handle confidential information with discretion and positively influence our company culture. 

    \n
    \n
    \n

    Key Responsibilities 

    \n
    \n
    \n

    Office Expansion & Relocation Support 

    \n
    \n
    \n
      \n
    • \n

      Move Coordination: Support the Operations team in the execution of the office relocation, assisting with equipment inventory, vendor scheduling, and on-site logistics. 

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Space Setup: Assist in the physical setup of the new, larger office, including the organization of common areas, storage solutions, and workstations to ensure the space is \"day-one\" ready. 

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Employee Transition: Act as a resource for the team during the move, helping to distribute new access badges, providing directions to new amenities, and assisting with desk transitions. 

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Expansion Maintenance: Help maintain the increased footprint of the new office by conducting regular walkthroughs to identify maintenance needs or supply shortages. 

      \n
      • \n
    \n
    \n
    \n

    Office & Vendor Support 

    \n
    \n
    \n
      \n
    • \n

      Vendor Liaison: Coordinate scheduling and building access for service vendors and deliveries; serve as the primary on-site point of contact for routine vendor visits. 

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Inventory & Restocking: Maintain proactive stocking of kitchen supplies (snacks, beverages, coffee) and office essentials (printer paper, toner, stationery) to ensure seamless daily operations. 

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Space Upkeep: Maintain the organization and \"office-ready\" aesthetic of the kitchen, supply areas, and all shared collaborative spaces. 

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Task Tracking: Track recurring operational tasks (e.g., plant watering, water delivery, shredding services. 

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Facility Assistance: Directly assist with facilities-related needs and ergonomic workspace setups for new and existing staff. 

      \n
      • \n
    \n
    \n
    \n
    \n
    \n

    Administrative & Operations Support 

    \n
    \n
    \n
      \n
    • \n

      Logistics & Mail: Manage incoming mail and package distribution, including high-volume deliveries associated with the new office setup. 

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Meeting Readiness: Support conference room readiness and meeting logistics (AV checks, catering setup, and room resets). 

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Onboarding Prep: Assist with onboarding preparation, including physical workspace setup, supply kits, and access coordination for new hires. 

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Financial Tracking: Maintain basic tracking of inventory costs and recurring operational expenses to support the budget. 

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Compliance: Maintain full compliance by ensuring General Liability Insurance (GLI) is current and meticulously archiving Certificates of Insurance (COIs) from all vendors. 

      \n
      • \n
    \n
    \n
    \n

    Financial & Accounting Support 

    \n
    \n
    \n
      \n
    • \n

      Transaction Processing: Manage daily financial transactions, including processing payments and tracking expenses. 

      \n
      • \n
    \n
    \n
    \n

    Academic Qualifications 

    \n
    \n
    \n
      \n
    • \n

      Education: A bachelor’s degree in business, Admin or a related field is preferred. 

      \n
      • \n
    \n
    \n
    \n

     

    \n
    \n
    \n

    Professional Experience 

    \n
    \n
    \n
      \n
    • \n

      Minimum of 5 years of experience in an office and administrative role. 

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Proven experience with basic accounting tasks, invoicing, and expense management. 

      \n
      • \n
    \n
    \n
    \n

    Preferred Skills 

    \n
    \n
    \n
      \n
    • \n

      Exceptional organizational skills and a high level of attention to detail. 

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Strong written and verbal communication skills. 

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Proficiency with communication and collaboration tools such as Zoom, Microsoft Teams, and Slack. 

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      Proficiency with financial software, Microsoft Office Suite (especially Excel), and project management tools. 

      \n
      • \n
    \n
    \n
    \n
      \n
    • \n

      A proactive and resourceful mindset with the ability to manage multiple priorities. 

      \n
      • \n
    \n
    \n
    \n
    \n
    \n
      \n
    • \n

      A natural collaborator who enjoys building a positive team culture. 

      \n
      • \n
    \n
    \n
    \n
    \n
    ","id":"6ed9aeef-e8c9-4b04-89ca-3ebcf38e52e6","lists":[],"text":"Workplace Operations Coordinator","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"
    \n
    \n

    About the Institute of Foundation Models 

    \n
    \n
    \n

    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.  

    \n
    \n
    \n

    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. 

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    Position Summary 

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    We are seeking a highly organized and proactive Workplace Operations Coordinator to be the backbone of our office. This role is crucial for ensuring the smooth daily operations of our organization by managing a wide range of administrative, financial, and people-focused tasks. The ideal candidate is a detail-oriented professional with excellent communication skills who can handle confidential information with discretion and positively influence our company culture. 

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    Key Responsibilities 

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    Office Expansion & Relocation Support 

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      Move Coordination: Support the Operations team in the execution of the office relocation, assisting with equipment inventory, vendor scheduling, and on-site logistics. 

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      Space Setup: Assist in the physical setup of the new, larger office, including the organization of common areas, storage solutions, and workstations to ensure the space is \"day-one\" ready. 

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      Employee Transition: Act as a resource for the team during the move, helping to distribute new access badges, providing directions to new amenities, and assisting with desk transitions. 

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      Expansion Maintenance: Help maintain the increased footprint of the new office by conducting regular walkthroughs to identify maintenance needs or supply shortages. 

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    Office & Vendor Support 

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      Vendor Liaison: Coordinate scheduling and building access for service vendors and deliveries; serve as the primary on-site point of contact for routine vendor visits. 

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      Inventory & Restocking: Maintain proactive stocking of kitchen supplies (snacks, beverages, coffee) and office essentials (printer paper, toner, stationery) to ensure seamless daily operations. 

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      Space Upkeep: Maintain the organization and \"office-ready\" aesthetic of the kitchen, supply areas, and all shared collaborative spaces. 

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      Task Tracking: Track recurring operational tasks (e.g., plant watering, water delivery, shredding services. 

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      Facility Assistance: Directly assist with facilities-related needs and ergonomic workspace setups for new and existing staff. 

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    Administrative & Operations Support 

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      Logistics & Mail: Manage incoming mail and package distribution, including high-volume deliveries associated with the new office setup. 

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      Meeting Readiness: Support conference room readiness and meeting logistics (AV checks, catering setup, and room resets). 

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      Onboarding Prep: Assist with onboarding preparation, including physical workspace setup, supply kits, and access coordination for new hires. 

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      Financial Tracking: Maintain basic tracking of inventory costs and recurring operational expenses to support the budget. 

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      Compliance: Maintain full compliance by ensuring General Liability Insurance (GLI) is current and meticulously archiving Certificates of Insurance (COIs) from all vendors. 

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    Financial & Accounting Support 

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      Transaction Processing: Manage daily financial transactions, including processing payments and tracking expenses. 

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    Academic Qualifications 

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      Education: A bachelor’s degree in business, Admin or a related field is preferred. 

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    Professional Experience 

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      Minimum of 5 years of experience in an office and administrative role. 

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      Proven experience with basic accounting tasks, invoicing, and expense management. 

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    Preferred Skills 

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      Exceptional organizational skills and a high level of attention to detail. 

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      Strong written and verbal communication skills. 

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      Proficiency with communication and collaboration tools such as Zoom, Microsoft Teams, and Slack. 

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      Proficiency with financial software, Microsoft Office Suite (especially Excel), and project management tools. 

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      A proactive and resourceful mindset with the ability to manage multiple priorities. 

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      A natural collaborator who enjoys building a positive team culture. 

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    ","descriptionBodyPlain":"About the Institute of Foundation Models \nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.  \nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. \nPosition Summary \nWe are seeking a highly organized and proactive Workplace Operations Coordinator to be the backbone of our office. This role is crucial for ensuring the smooth daily operations of our organization by managing a wide range of administrative, financial, and people-focused tasks. The ideal candidate is a detail-oriented professional with excellent communication skills who can handle confidential information with discretion and positively influence our company culture. \nKey Responsibilities \nOffice Expansion & Relocation Support \nMove Coordination: Support the Operations team in the execution of the office relocation, assisting with equipment inventory, vendor scheduling, and on-site logistics. \n\n\n","hostedUrl":"https://jobs.lever.co/ifm-us/6ed9aeef-e8c9-4b04-89ca-3ebcf38e52e6","applyUrl":"https://jobs.lever.co/ifm-us/6ed9aeef-e8c9-4b04-89ca-3ebcf38e52e6/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full-time","location":"Abu Dhabi","team":"Research","allLocations":["Abu Dhabi"]},"createdAt":1753381816433,"descriptionPlain":"About the Institute of Foundation Models\n \nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n \nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n \nThe Role\nYou will own the end‐to‐end strategy, design, and delivery of our general-purpose world modeling efforts. You’ll translate cutting-edge research (e.g., the PAN framework) into robust, production-ready simulators, guide a multidisciplinary team of engineers and scientists, and ensure alignment with IFM’s mission.\n\n\nKey Responsibilities\n\nTechnical Leadership & Vision\n\t- Define and evolve the overall world model architecture, drawing on the PAN principles:\n\t\t\t1. Multimodal data ingestion\n\t\t\t2. Mixed continuous/discrete representations\n\t\t\t3. Hierarchical generative modeling with an enhanced LLM backbone and diffusion-based predictors\n\t\t\t4. Generative loss grounded in real observations\n\t\t\t5. Simulation for RL-based agent training \n\t- Establish performance, safety, and evaluation benchmarks, driving continuous improvement.\n\nProject & Team Management\n\t- Oversee planning, resourcing, and timeline for world model projects.\n\t- Manage research engineers and scientists (e.g., data curators, RL experts, simulator devs) to achieve unified progress.\n\nCross-Functional Collaboration\n\t- Partner with agent, reasoning, and deployment teams to integrate world model outputs into downstream applications (robotics, multi-turn dialogue, autonomous systems).\n\t- Liaise with external collaborators (academia & industry) to incorporate the latest advances and tooling.\n\nGovernance & Communication\n\t- Report project status, risks, and key insights to senior leadership and stakeholders.\n\t- Champion best practices in reproducibility, documentation, and knowledge sharing.\n\nRequired Qualifications\n\t- Ph.D. or M.S. with 8+ years in AI research or engineering, specializing in world modeling, simulation, or generative modeling.\n\t- Proven track record building large-scale simulators or predictive models for complex environments.\n\t- Deep expertise in transformer-based LLMs, diffusion models, and hierarchical latent representations.\n\t- Hands-on experience with reinforcement learning frameworks (policy learning, planning with latent dynamics).\n\t- Strong leadership skills: project management, cross-site coordination, and team mentorship.\n\nPreferred Qualifications\n\t- Experience leading multi-location technical teams in fast-paced R&D settings.\n\t- Published contributions to world model architectures or simulation benchmarks.\n\t- Track record of taking research prototypes into production systems.\n","description":"
    About the Institute of Foundation Models
     
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.
     
    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.
     
    The Role
    You will own the end‐to‐end strategy, design, and delivery of our general-purpose world modeling efforts. You’ll translate cutting-edge research (e.g., the PAN framework) into robust, production-ready simulators, guide a multidisciplinary team of engineers and scientists, and ensure alignment with IFM’s mission.


    Key Responsibilities

    Technical Leadership & Vision
    \t- Define and evolve the overall world model architecture, drawing on the PAN principles:
    \t\t\t1. Multimodal data ingestion
    \t\t\t2. Mixed continuous/discrete representations
    \t\t\t3. Hierarchical generative modeling with an enhanced LLM backbone and diffusion-based predictors
    \t\t\t4. Generative loss grounded in real observations
    \t\t\t5. Simulation for RL-based agent training 
    \t- Establish performance, safety, and evaluation benchmarks, driving continuous improvement.

    Project & Team Management
    \t- Oversee planning, resourcing, and timeline for world model projects.
    \t- Manage research engineers and scientists (e.g., data curators, RL experts, simulator devs) to achieve unified progress.

    Cross-Functional Collaboration
    \t- Partner with agent, reasoning, and deployment teams to integrate world model outputs into downstream applications (robotics, multi-turn dialogue, autonomous systems).
    \t- Liaise with external collaborators (academia & industry) to incorporate the latest advances and tooling.

    Governance & Communication
    \t- Report project status, risks, and key insights to senior leadership and stakeholders.
    \t- Champion best practices in reproducibility, documentation, and knowledge sharing.

    Required Qualifications
    \t- Ph.D. or M.S. with 8+ years in AI research or engineering, specializing in world modeling, simulation, or generative modeling.
    \t- Proven track record building large-scale simulators or predictive models for complex environments.
    \t- Deep expertise in transformer-based LLMs, diffusion models, and hierarchical latent representations.
    \t- Hands-on experience with reinforcement learning frameworks (policy learning, planning with latent dynamics).
    \t- Strong leadership skills: project management, cross-site coordination, and team mentorship.

    Preferred Qualifications
    \t- Experience leading multi-location technical teams in fast-paced R&D settings.
    \t- Published contributions to world model architectures or simulation benchmarks.
    \t- Track record of taking research prototypes into production systems.
    ","id":"4a606d4a-39bc-45bf-9e0d-6b43ff2ff639","lists":[],"text":"World Model Lead","country":"AE","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"
    About the Institute of Foundation Models
     
    We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.
     
    As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.
     
    The Role
    You will own the end‐to‐end strategy, design, and delivery of our general-purpose world modeling efforts. You’ll translate cutting-edge research (e.g., the PAN framework) into robust, production-ready simulators, guide a multidisciplinary team of engineers and scientists, and ensure alignment with IFM’s mission.


    Key Responsibilities

    Technical Leadership & Vision
    \t- Define and evolve the overall world model architecture, drawing on the PAN principles:
    \t\t\t1. Multimodal data ingestion
    \t\t\t2. Mixed continuous/discrete representations
    \t\t\t3. Hierarchical generative modeling with an enhanced LLM backbone and diffusion-based predictors
    \t\t\t4. Generative loss grounded in real observations
    \t\t\t5. Simulation for RL-based agent training 
    \t- Establish performance, safety, and evaluation benchmarks, driving continuous improvement.

    Project & Team Management
    \t- Oversee planning, resourcing, and timeline for world model projects.
    \t- Manage research engineers and scientists (e.g., data curators, RL experts, simulator devs) to achieve unified progress.

    Cross-Functional Collaboration
    \t- Partner with agent, reasoning, and deployment teams to integrate world model outputs into downstream applications (robotics, multi-turn dialogue, autonomous systems).
    \t- Liaise with external collaborators (academia & industry) to incorporate the latest advances and tooling.

    Governance & Communication
    \t- Report project status, risks, and key insights to senior leadership and stakeholders.
    \t- Champion best practices in reproducibility, documentation, and knowledge sharing.

    Required Qualifications
    \t- Ph.D. or M.S. with 8+ years in AI research or engineering, specializing in world modeling, simulation, or generative modeling.
    \t- Proven track record building large-scale simulators or predictive models for complex environments.
    \t- Deep expertise in transformer-based LLMs, diffusion models, and hierarchical latent representations.
    \t- Hands-on experience with reinforcement learning frameworks (policy learning, planning with latent dynamics).
    \t- Strong leadership skills: project management, cross-site coordination, and team mentorship.

    Preferred Qualifications
    \t- Experience leading multi-location technical teams in fast-paced R&D settings.
    \t- Published contributions to world model architectures or simulation benchmarks.
    \t- Track record of taking research prototypes into production systems.
    ","descriptionBodyPlain":"About the Institute of Foundation Models\n \nWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.\n \nAs part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.\n \nThe Role\nYou will own the end‐to‐end strategy, design, and delivery of our general-purpose world modeling efforts. You’ll translate cutting-edge research (e.g., the PAN framework) into robust, production-ready simulators, guide a multidisciplinary team of engineers and scientists, and ensure alignment with IFM’s mission.\n\n\nKey Responsibilities\n\nTechnical Leadership & Vision\n\t- Define and evolve the overall world model architecture, drawing on the PAN principles:\n\t\t\t1. Multimodal data ingestion\n\t\t\t2. Mixed continuous/discrete representations\n\t\t\t3. Hierarchical generative modeling with an enhanced LLM backbone and diffusion-based predictors\n\t\t\t4. Generative loss grounded in real observations\n\t\t\t5. Simulation for RL-based agent training \n\t- Establish performance, safety, and evaluation benchmarks, driving continuous improvement.\n\nProject & Team Management\n\t- Oversee planning, resourcing, and timeline for world model projects.\n\t- Manage research engineers and scientists (e.g., data curators, RL experts, simulator devs) to achieve unified progress.\n\nCross-Functional Collaboration\n\t- Partner with agent, reasoning, and deployment teams to integrate world model outputs into downstream applications (robotics, multi-turn dialogue, autonomous systems).\n\t- Liaise with external collaborators (academia & industry) to incorporate the latest advances and tooling.\n\nGovernance & Communication\n\t- Report project status, risks, and key insights to senior leadership and stakeholders.\n\t- Champion best practices in reproducibility, documentation, and knowledge sharing.\n\nRequired Qualifications\n\t- Ph.D. or M.S. with 8+ years in AI research or engineering, specializing in world modeling, simulation, or generative modeling.\n\t- Proven track record building large-scale simulators or predictive models for complex environments.\n\t- Deep expertise in transformer-based LLMs, diffusion models, and hierarchical latent representations.\n\t- Hands-on experience with reinforcement learning frameworks (policy learning, planning with latent dynamics).\n\t- Strong leadership skills: project management, cross-site coordination, and team mentorship.\n\nPreferred Qualifications\n\t- Experience leading multi-location technical teams in fast-paced R&D settings.\n\t- Published contributions to world model architectures or simulation benchmarks.\n\t- Track record of taking research prototypes into production systems.\n","hostedUrl":"https://jobs.lever.co/ifm-us/4a606d4a-39bc-45bf-9e0d-6b43ff2ff639","applyUrl":"https://jobs.lever.co/ifm-us/4a606d4a-39bc-45bf-9e0d-6b43ff2ff639/apply"}]