[{"additionalPlain":"The pay range for this position at commencement of employment is expected to be between $45 and $60/hour for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, and paid time off benefits (including holiday pay and sick time). Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.\n\n\nPlease reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.\n \nTRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.\n \nIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.\n","additional":"
The pay range for this position at commencement of employment is expected to be between $45 and $60/hour for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, and paid time off benefits (including holiday pay and sick time). Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.

Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.
\n
 
\n
TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.
\n
 
\n
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.
","categories":{"commitment":"Full-time","department":"Robotics","location":"Los Altos, CA","team":"Robotics","allLocations":["Los Altos, CA"]},"createdAt":1773707514609,"descriptionPlain":"At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.\n\n\nThe Team\nThe Learning From Videos (LFV) team in the Robotics division focuses on the development of foundation models capable of leveraging large-scale multi-modal (RGB, depth, flow, semantics, bounding boxes, tactile, audio, etc) data from multiple domains (driving, robotics, indoors, outdoors, etc) to improve downstream task performance. \nOur approach emphasizes training scalability: by learning from multiple modalities, models can develop useful data-driven priors about 3D geometry, physics, and dynamics for world understanding. \nOur research interests include, but are not limited to:\nVideo Generation\nWorld Models\n4D Reconstruction\nMulti-Modal Models\nMulti-View Geometry\nData Augmentation\nVideo-Language-Action Models\nWe focus primarily on embodied applications and aim to tackle some of the hardest scientific challenges in spatio-temporal reasoning, enabling autonomous agents to operate in real-world, unstructured environments.\nThe AI Resident\nThis year-long AI Residency is a research-focused position designed for early-career researchers and engineers who are excited to work on ambitious problems in embodied AI. The resident will be deeply integrated into the LFV team, contributing to both ongoing and new research efforts in areas including:\n4D World Models\nPhysical and Embodied Intelligence\nMulti-Modal Learning\n\nAs an AI Resident, you will collaborate closely with researchers and engineers at TRI on high-risk, pushing forward our understanding of spatio-temporal reasoning and zero-shot generalization. This is a research-focused position, targeting the development of methods and techniques that can solve real-world problems. \nWe welcome you to join a positive, friendly, and enthusiastic team of researchers, where you will contribute to helping people gain and maintain independence, access, and mobility. We work closely with other Toyota affiliates, and actively collaborate towards research publications and the productization of our developed technologies.\n","description":"

At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.


\n

The Team

\n

The Learning From Videos (LFV) team in the Robotics division focuses on the development of foundation models capable of leveraging large-scale multi-modal (RGB, depth, flow, semantics, bounding boxes, tactile, audio, etc) data from multiple domains (driving, robotics, indoors, outdoors, etc) to improve downstream task performance. 

\n

Our approach emphasizes training scalability: by learning from multiple modalities, models can develop useful data-driven priors about 3D geometry, physics, and dynamics for world understanding. 

\n

Our research interests include, but are not limited to:

\n\n
We focus primarily on embodied applications and aim to tackle some of the hardest scientific challenges in spatio-temporal reasoning, enabling autonomous agents to operate in real-world, unstructured environments.
\n
\n
\n

The AI Resident

\n

This year-long AI Residency is a research-focused position designed for early-career researchers and engineers who are excited to work on ambitious problems in embodied AI. The resident will be deeply integrated into the LFV team, contributing to both ongoing and new research efforts in areas including:

\n\n


As an AI Resident, you will collaborate closely with researchers and engineers at TRI on high-risk, pushing forward our understanding of spatio-temporal reasoning and zero-shot generalization. This is a research-focused position, targeting the development of methods and techniques that can solve real-world problems. 

\n

We welcome you to join a positive, friendly, and enthusiastic team of researchers, where you will contribute to helping people gain and maintain independence, access, and mobility. We work closely with other Toyota affiliates, and actively collaborate towards research publications and the productization of our developed technologies.

\n
","id":"07910a65-9ab3-4d48-85a8-44cd187afafd","lists":[{"text":"Responsibilities","content":"\n
  • Develop, integrate, and deploy algorithms for Multi-Modal and 4D reasoning targeting physical applications.
    • \n
  • Handle the ingestion of large-scale datasets for training, including streaming, online, and continual learning.
    • \n
  • Contribute innovative solutions at the intersection of machine learning, computer vision, and robotics to improve real-world task performance.
    • \n
  • Work closely with robotics and machine learning researchers and engineers to understand theoretical and practical needs.
    • \n
  • Follow best practices producing maintainable code, both for internal use as well as for open-sourcing to the scientific community.
    • \n
  • Contribute to research publications and technical reports.
    • \n"},{"text":"Qualifications","content":"
    \n\n
  • Bachelor's or Master’s degree in Computer Science, Electrical Engineering, Robotics, or a related technical field.
    • \n
  • Exceptional candidates with equivalent research experience (e.g., strong publication record, open-source contributions, or industry research experience) are encouraged to apply.
    • \n
  • Strong background in computer vision and its applications to robotics and embodied systems.
    • \n
  • Demonstrated research experience through publications, technical projects, or open-source contributions.
    • \n
  • Strong communication skills and a collaborative mindset, with the ability to learn quickly and contribute to team research efforts.
    • \n
  • Passionate about assisting and amplifying older adults and those in need through dexterous manipulation, human-robot collaboration, and physical assistance innovation.
    • \n\n
    "},{"text":"Bonus Qualifications","content":"\n
  • Spatio-temporal (4D) computer vision, including multi-view geometry, 3D/4D reconstruction, video generation, self-supervised learning, occlusion reasoning, etc.
    • \n
  • Large-scale training of multi-modal deep learning methods, both in terms of dataset sizes and model complexity, context length extension, and efficient attention, distributed computing, etc.
    • \n
  • Application of machine learning and computer vision to embodied applications.
    • \n"}],"text":"AI Resident - Learning From Videos (LFV)","country":"US","workplaceType":"hybrid","opening":"

    At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.

    ","openingPlain":"At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.\n","descriptionBody":"
    \n

    The Team

    \n

    The Learning From Videos (LFV) team in the Robotics division focuses on the development of foundation models capable of leveraging large-scale multi-modal (RGB, depth, flow, semantics, bounding boxes, tactile, audio, etc) data from multiple domains (driving, robotics, indoors, outdoors, etc) to improve downstream task performance. 

    \n

    Our approach emphasizes training scalability: by learning from multiple modalities, models can develop useful data-driven priors about 3D geometry, physics, and dynamics for world understanding. 

    \n

    Our research interests include, but are not limited to:

    \n\n
    We focus primarily on embodied applications and aim to tackle some of the hardest scientific challenges in spatio-temporal reasoning, enabling autonomous agents to operate in real-world, unstructured environments.
    \n
    \n
    \n

    The AI Resident

    \n

    This year-long AI Residency is a research-focused position designed for early-career researchers and engineers who are excited to work on ambitious problems in embodied AI. The resident will be deeply integrated into the LFV team, contributing to both ongoing and new research efforts in areas including:

    \n\n


    As an AI Resident, you will collaborate closely with researchers and engineers at TRI on high-risk, pushing forward our understanding of spatio-temporal reasoning and zero-shot generalization. This is a research-focused position, targeting the development of methods and techniques that can solve real-world problems. 

    \n

    We welcome you to join a positive, friendly, and enthusiastic team of researchers, where you will contribute to helping people gain and maintain independence, access, and mobility. We work closely with other Toyota affiliates, and actively collaborate towards research publications and the productization of our developed technologies.

    \n
    ","descriptionBodyPlain":"The Team\nThe Learning From Videos (LFV) team in the Robotics division focuses on the development of foundation models capable of leveraging large-scale multi-modal (RGB, depth, flow, semantics, bounding boxes, tactile, audio, etc) data from multiple domains (driving, robotics, indoors, outdoors, etc) to improve downstream task performance. \nOur approach emphasizes training scalability: by learning from multiple modalities, models can develop useful data-driven priors about 3D geometry, physics, and dynamics for world understanding. \nOur research interests include, but are not limited to:\nVideo Generation\nWorld Models\n4D Reconstruction\nMulti-Modal Models\nMulti-View Geometry\nData Augmentation\nVideo-Language-Action Models\nWe focus primarily on embodied applications and aim to tackle some of the hardest scientific challenges in spatio-temporal reasoning, enabling autonomous agents to operate in real-world, unstructured environments.\nThe AI Resident\nThis year-long AI Residency is a research-focused position designed for early-career researchers and engineers who are excited to work on ambitious problems in embodied AI. The resident will be deeply integrated into the LFV team, contributing to both ongoing and new research efforts in areas including:\n4D World Models\nPhysical and Embodied Intelligence\nMulti-Modal Learning\n\nAs an AI Resident, you will collaborate closely with researchers and engineers at TRI on high-risk, pushing forward our understanding of spatio-temporal reasoning and zero-shot generalization. This is a research-focused position, targeting the development of methods and techniques that can solve real-world problems. \nWe welcome you to join a positive, friendly, and enthusiastic team of researchers, where you will contribute to helping people gain and maintain independence, access, and mobility. We work closely with other Toyota affiliates, and actively collaborate towards research publications and the productization of our developed technologies.\n","hostedUrl":"https://jobs.lever.co/tri/07910a65-9ab3-4d48-85a8-44cd187afafd","applyUrl":"https://jobs.lever.co/tri/07910a65-9ab3-4d48-85a8-44cd187afafd/apply"},{"additionalPlain":"The pay range for this position at the commencement of employment is expected to be between $89,000 and $120,000/year for California-based roles; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Note that TRI offers a generous benefits package (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave) and an annual cash bonus structure. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.\n\n\nPlease reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.\n \nTRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.\n \nIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.\n","additional":"
    The pay range for this position at the commencement of employment is expected to be between $89,000 and $120,000/year for California-based roles; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Note that TRI offers a generous benefits package (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave) and an annual cash bonus structure. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

    \n
    Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.
    \n
     
    \n
    TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.
    \n
     
    \n
    It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.
    \n
    ","categories":{"commitment":"Full-time","department":"Venture Capital","location":"Based in SF Bay Area, but open to other U.S. locations","team":"Toyota Ventures","allLocations":["Based in SF Bay Area, but open to other U.S. locations"]},"createdAt":1776088138481,"descriptionPlain":"Founded in 2017, Toyota Ventures is a San Francisco Bay Area-based venture capital firm with $800M+ AUM that invests in early-stage startups around the world in deep tech and climate solutions. We are on a mission to discover what’s next for Toyota by helping startups bring groundbreaking technologies and business models to market quickly. We’ve invested in over 100 companies to date, including AM Batteries, Apex Space, Axiom Math, Bipi (acquired), Blackmore (acquired), Efficient Computer, e-Zinc, Intuition Robotics, Joby Aviation (NYSE: Joby), Natura Resources, Pickle Robot, and Stoke Space.\nOur firm is growing and we are looking for an analyst for the Toyota Ventures Frontier Fund(s) to help source and screen innovative companies in areas like AI, advanced materials, automation and robotics, and space tech. Along with a degree in a relevant field, we are seeking someone with a strong understanding of deep tech. The role also requires excellent written and verbal communication skills, an understanding of industry trends, and a knack for spotting the early stage startups that are defining those trends. \nOur team values diversity, acting with integrity, being humble but bold, and “keeping it weird.” If this sounds like a good fit, and you’re passionate about finding and funding innovative companies, we look forward to hearing from you!\nThis role is based in the San Francisco Bay Area (we have offices in both San Francisco and Los Altos, CA), but remote work within other U.S. cities is possible.\n","description":"
    \n

    Founded in 2017, Toyota Ventures is a San Francisco Bay Area-based venture capital firm with $800M+ AUM that invests in early-stage startups around the world in deep tech and climate solutions. We are on a mission to discover what’s next for Toyota by helping startups bring groundbreaking technologies and business models to market quickly. We’ve invested in over 100 companies to date, including AM Batteries, Apex Space, Axiom Math, Bipi (acquired), Blackmore (acquired), Efficient Computer, e-Zinc, Intuition Robotics, Joby Aviation (NYSE: Joby), Natura Resources, Pickle Robot, and Stoke Space.

    \n

    Our firm is growing and we are looking for an analyst for the Toyota Ventures Frontier Fund(s) to help source and screen innovative companies in areas like AI, advanced materials, automation and robotics, and space tech. Along with a degree in a relevant field, we are seeking someone with a strong understanding of deep tech. The role also requires excellent written and verbal communication skills, an understanding of industry trends, and a knack for spotting the early stage startups that are defining those trends. 

    \n

    Our team values diversity, acting with integrity, being humble but bold, and “keeping it weird.” If this sounds like a good fit, and you’re passionate about finding and funding innovative companies, we look forward to hearing from you!

    \n

    This role is based in the San Francisco Bay Area (we have offices in both San Francisco and Los Altos, CA), but remote work within other U.S. cities is possible.

    \n
    ","id":"6929e3c9-3904-4777-9d19-9929a5ddeca6","lists":[{"text":"Responsibilities","content":"
    \n\n
  • \n

    Network and take part in industry and VC events, organizations

    \n
    • \n
  • \n

    Help generate deal-flow and source high-potential target companies 

    \n
    • \n
  • \n

    Meet with and evaluate companies to make recommendations on investing

    \n
    • \n
  • \n

    Perform research for due diligence, competitive analyses, and industry deep dives

    \n
    • \n
  • \n

    Draft investment memos for the Investment Committee

    \n
    • \n
  • \n

    Analyze latest industry trends and assist with market research briefings

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

    1+ year of work experience in related role preferred

    \n
    • \n
  • \n

    Bachelor's degree in computer science, engineering or relevant field

    \n
    • \n
  • \n

    High level of integrity and professionalism, with ability to maintain strict confidentiality

    \n
    • \n
  • \n

    Excellent communication and interpersonal skills

    \n
    • \n
  • \n

    Proficiency in Excel and Google Suite, and the ability to quickly learn and master new software applications

    \n
    • \n
  • \n

    Comfortable with ambiguity and risk

    \n
    • \n
  • \n

    Ability to work collaboratively with team members

    \n
    • \n
  • \n

    Passion for learning about new technologies and understanding their business potential

    \n
    • \n\n
    "}],"salaryDescription":"

     

    \n
     
    ","salaryDescriptionPlain":" \n \n","text":"Analyst","country":"US","workplaceType":"hybrid","opening":"","openingPlain":"","descriptionBody":"
    \n

    Founded in 2017, Toyota Ventures is a San Francisco Bay Area-based venture capital firm with $800M+ AUM that invests in early-stage startups around the world in deep tech and climate solutions. We are on a mission to discover what’s next for Toyota by helping startups bring groundbreaking technologies and business models to market quickly. We’ve invested in over 100 companies to date, including AM Batteries, Apex Space, Axiom Math, Bipi (acquired), Blackmore (acquired), Efficient Computer, e-Zinc, Intuition Robotics, Joby Aviation (NYSE: Joby), Natura Resources, Pickle Robot, and Stoke Space.

    \n

    Our firm is growing and we are looking for an analyst for the Toyota Ventures Frontier Fund(s) to help source and screen innovative companies in areas like AI, advanced materials, automation and robotics, and space tech. Along with a degree in a relevant field, we are seeking someone with a strong understanding of deep tech. The role also requires excellent written and verbal communication skills, an understanding of industry trends, and a knack for spotting the early stage startups that are defining those trends. 

    \n

    Our team values diversity, acting with integrity, being humble but bold, and “keeping it weird.” If this sounds like a good fit, and you’re passionate about finding and funding innovative companies, we look forward to hearing from you!

    \n

    This role is based in the San Francisco Bay Area (we have offices in both San Francisco and Los Altos, CA), but remote work within other U.S. cities is possible.

    \n
    ","descriptionBodyPlain":"Founded in 2017, Toyota Ventures is a San Francisco Bay Area-based venture capital firm with $800M+ AUM that invests in early-stage startups around the world in deep tech and climate solutions. We are on a mission to discover what’s next for Toyota by helping startups bring groundbreaking technologies and business models to market quickly. We’ve invested in over 100 companies to date, including AM Batteries, Apex Space, Axiom Math, Bipi (acquired), Blackmore (acquired), Efficient Computer, e-Zinc, Intuition Robotics, Joby Aviation (NYSE: Joby), Natura Resources, Pickle Robot, and Stoke Space.\nOur firm is growing and we are looking for an analyst for the Toyota Ventures Frontier Fund(s) to help source and screen innovative companies in areas like AI, advanced materials, automation and robotics, and space tech. Along with a degree in a relevant field, we are seeking someone with a strong understanding of deep tech. The role also requires excellent written and verbal communication skills, an understanding of industry trends, and a knack for spotting the early stage startups that are defining those trends. \nOur team values diversity, acting with integrity, being humble but bold, and “keeping it weird.” If this sounds like a good fit, and you’re passionate about finding and funding innovative companies, we look forward to hearing from you!\nThis role is based in the San Francisco Bay Area (we have offices in both San Francisco and Los Altos, CA), but remote work within other U.S. cities is possible.\n","hostedUrl":"https://jobs.lever.co/tri/6929e3c9-3904-4777-9d19-9929a5ddeca6","applyUrl":"https://jobs.lever.co/tri/6929e3c9-3904-4777-9d19-9929a5ddeca6/apply"},{"additionalPlain":"Please include links to any relevant open-source contributions or technical project write-ups with your application.\n \n\n\nThe pay range for this position at commencement of employment is expected to be between $45 and $65/hour for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, and paid time off benefits (including holiday pay and sick time). Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.\n \nPlease reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.\n \nTRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.\n \nIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.\n","additional":"
    Please include links to any relevant open-source contributions or technical project write-ups with your application.
    \n
     

    The pay range for this position at commencement of employment is expected to be between $45 and $65/hour for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, and paid time off benefits (including holiday pay and sick time). Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.
    \n
     
    \n
    Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.
    \n
     
    \n
    TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.
    \n
     
    \n
    It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.
    ","categories":{"commitment":"Intern","department":"Human Interactive Driving","location":"Los Altos, CA","team":"Internships - Fall 2026","allLocations":["Los Altos, CA"]},"createdAt":1763142470237,"descriptionPlain":"At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.\nThis is a paid 12-week internship opportunity and is a hybrid, in-office role.\nHere’s a glimpse into the Internship experience from some of our TRI interns!\n\n\nThe Team\n \nYou’ll be joining a multidisciplinary research team focused on developing a world foundation model for driving—a unified, transferable representation of driving knowledge built from large-scale real-world and simulated data.  Together, we are tackling the complex challenges of multi-agent interaction, causal reasoning, and embodied intelligence in highly dynamic, real-world driving environments. Our approach is inspired by cutting-edge generative modeling techniques and powered by scalable infrastructure and open-source data, and we work closely with engineers to deploy our models in simulation and on hardware.\n \nThe Internship\n \nAs a Ph.D. Research Intern, you will conduct original research at the intersection of machine learning and autonomous driving. Your work may focus on developing novel components of world models, improving decision-making through model-based RL, advancing 3D perception for dynamic scenes, or enhancing simulation-to-reality transfer. You’ll have the opportunity to prototype and evaluate your ideas in closed-loop simulations and contribute to research publications alongside TRI scientists. This is an opportunity to test and refine your research in a collaborative, high-impact environment, while working with real-world data and contributing to the future of autonomous systems.  The internship will be in our headquarters and include competitive compensation, befitting the challenging but fun nature of the research work at TRI. Applicants with relevant publications in the fields above and good collaboration skills are highly encouraged to apply.\n","description":"

    At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.

    \n

    This is a paid 12-week internship opportunity and is a hybrid, in-office role.

    \n

    Here’s a glimpse into the Internship experience from some of our TRI interns!


    The Team
    \n
     
    \n
    You’ll be joining a multidisciplinary research team focused on developing a world foundation model for driving—a unified, transferable representation of driving knowledge built from large-scale real-world and simulated data.  Together, we are tackling the complex challenges of multi-agent interaction, causal reasoning, and embodied intelligence in highly dynamic, real-world driving environments. Our approach is inspired by cutting-edge generative modeling techniques and powered by scalable infrastructure and open-source data, and we work closely with engineers to deploy our models in simulation and on hardware.
    \n
     
    \n
    The Internship
    \n
     
    \n
    As a Ph.D. Research Intern, you will conduct original research at the intersection of machine learning and autonomous driving. Your work may focus on developing novel components of world models, improving decision-making through model-based RL, advancing 3D perception for dynamic scenes, or enhancing simulation-to-reality transfer. You’ll have the opportunity to prototype and evaluate your ideas in closed-loop simulations and contribute to research publications alongside TRI scientists. This is an opportunity to test and refine your research in a collaborative, high-impact environment, while working with real-world data and contributing to the future of autonomous systems.  The internship will be in our headquarters and include competitive compensation, befitting the challenging but fun nature of the research work at TRI. Applicants with relevant publications in the fields above and good collaboration skills are highly encouraged to apply.
    ","id":"63d61db3-ac43-4c0d-8b9b-5006e3b92149","lists":[{"text":"Responsibilities","content":"\n
  • Conduct original research in one or more areas: world modeling, multi-agent interaction, reinforcement learning, perception, or simulation-to-reality transfer.
    • \n
  • Collaborate closely with full-time researchers on the design, training, and evaluation of learning-based driving systems.
    • \n
  • Contribute to building and experimenting with task-aware, multi-modal, and uncertainty-aware models.
    • \n
  • Develop and evaluate prototypes in closed-loop simulation environments and, time permitting, on high-performance autonomous driving hardware.
    • \n
  • Present research findings through internal talks and work towards a top-tier academic publication.
    • \n
  • Integrate and work with large-scale datasets (open-source and internal).
    • \n"},{"text":"Qualifications","content":"\n
  • Currently enrolled in a Ph.D. program in Computer Science, Robotics, Machine Learning, or a related field.
    • \n
  • Strong background in machine learning, particularly in areas such as deep learning, generative models, reinforcement learning, or probabilistic modeling.
    • \n
  • Demonstrated experience with one or more of the following: World models (e.g., latent dynamics, diffusion-based models), Model-based RL or decision-making, 3D perception or sensor fusion, and Large-scale simulation for robotics or autonomous systems.
    • \n
  • Prior publication(s) in top-tier conferences (NeurIPS, ICLR, ICML, CVPR, ICRA, CoRL, etc.)
    • \n
  • Proficiency with Python and PyTorch.
    • \n
  • Familiarity with AWS services (S3, EC2, and SageMaker) and open-source driving datasets (nuScenes, Waymo, Argoverse, etc.) is a plus.
    • \n"}],"text":"Human Interactive Driving Intern – World Models","country":"US","workplaceType":"hybrid","opening":"

    At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.

    \n

    This is a paid 12-week internship opportunity and is a hybrid, in-office role.

    \n

    Here’s a glimpse into the Internship experience from some of our TRI interns!

    ","openingPlain":"At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.\nThis is a paid 12-week internship opportunity and is a hybrid, in-office role.\nHere’s a glimpse into the Internship experience from some of our TRI interns!\n","descriptionBody":"
    The Team
    \n
     
    \n
    You’ll be joining a multidisciplinary research team focused on developing a world foundation model for driving—a unified, transferable representation of driving knowledge built from large-scale real-world and simulated data.  Together, we are tackling the complex challenges of multi-agent interaction, causal reasoning, and embodied intelligence in highly dynamic, real-world driving environments. Our approach is inspired by cutting-edge generative modeling techniques and powered by scalable infrastructure and open-source data, and we work closely with engineers to deploy our models in simulation and on hardware.
    \n
     
    \n
    The Internship
    \n
     
    \n
    As a Ph.D. Research Intern, you will conduct original research at the intersection of machine learning and autonomous driving. Your work may focus on developing novel components of world models, improving decision-making through model-based RL, advancing 3D perception for dynamic scenes, or enhancing simulation-to-reality transfer. You’ll have the opportunity to prototype and evaluate your ideas in closed-loop simulations and contribute to research publications alongside TRI scientists. This is an opportunity to test and refine your research in a collaborative, high-impact environment, while working with real-world data and contributing to the future of autonomous systems.  The internship will be in our headquarters and include competitive compensation, befitting the challenging but fun nature of the research work at TRI. Applicants with relevant publications in the fields above and good collaboration skills are highly encouraged to apply.
    ","descriptionBodyPlain":"The Team\n \nYou’ll be joining a multidisciplinary research team focused on developing a world foundation model for driving—a unified, transferable representation of driving knowledge built from large-scale real-world and simulated data.  Together, we are tackling the complex challenges of multi-agent interaction, causal reasoning, and embodied intelligence in highly dynamic, real-world driving environments. Our approach is inspired by cutting-edge generative modeling techniques and powered by scalable infrastructure and open-source data, and we work closely with engineers to deploy our models in simulation and on hardware.\n \nThe Internship\n \nAs a Ph.D. Research Intern, you will conduct original research at the intersection of machine learning and autonomous driving. Your work may focus on developing novel components of world models, improving decision-making through model-based RL, advancing 3D perception for dynamic scenes, or enhancing simulation-to-reality transfer. You’ll have the opportunity to prototype and evaluate your ideas in closed-loop simulations and contribute to research publications alongside TRI scientists. This is an opportunity to test and refine your research in a collaborative, high-impact environment, while working with real-world data and contributing to the future of autonomous systems.  The internship will be in our headquarters and include competitive compensation, befitting the challenging but fun nature of the research work at TRI. Applicants with relevant publications in the fields above and good collaboration skills are highly encouraged to apply.\n","hostedUrl":"https://jobs.lever.co/tri/63d61db3-ac43-4c0d-8b9b-5006e3b92149","applyUrl":"https://jobs.lever.co/tri/63d61db3-ac43-4c0d-8b9b-5006e3b92149/apply"},{"additionalPlain":"The pay range for this position at commencement of employment is expected to be between $45 and $65/hour for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, and paid time off benefits (including holiday pay and sick time). Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.\n \nPlease reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.\n \nTRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.\n \nIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.\n","additional":"
    The pay range for this position at commencement of employment is expected to be between $45 and $65/hour for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, and paid time off benefits (including holiday pay and sick time). Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.
    \n
     
    \n
    Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.
    \n
     
    \n
    TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.
    \n
     
    \n
    It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.
    ","categories":{"commitment":"Intern","department":"Human-Centered AI","location":"Los Altos, CA","team":"Internships - Fall 2026","allLocations":["Los Altos, CA"]},"createdAt":1771449317800,"descriptionPlain":"At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.\nThis is a paid 12-week internship opportunity and is a hybrid, in-office role.\nHere’s a glimpse into the Internship experience from some of our TRI interns!\n\n\nTEAM NAME + MISSION\nThis internship opportunity falls within the Human-Centered AI Division (HCAI). We are an integrated team of ML researchers, behavior scientists, and human-computer interaction experts. At the core of our work, we aim to support people to make better decisions by leveraging the best of big data, technology, and insights about why we do what we do. \n \nABOUT THE INTERNSHIP \nWe are seeking a highly motivated and talented PhD research intern to join our Future Product Innovation team and push the envelope on what is possible with Generative AI technologies in the domain of automotive product design. The ideal candidate will have a strong background in CAD Generation and Machine Learning or related fields, with demonstrated interest in design and generative AI. In this project, the intern will develop generative models for 3D parametric B-rep editing and design reasoning. \n \nOver the course of the project, in addition to Future Product Innovation group meetings, the intern will also participate in all Human-Centered AI division meetings and meetings with stakeholders from relevant Toyota business groups. The intern will be exposed to how interdisciplinary industrial research works and learn from our team as well as the other interns in our division. Furthermore, the intern will engage in strategy discussions about how their research connects to business impact at Toyota.\n \nThis is a Fall 2026 paid 12-week internship opportunity. \n","description":"

    At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.

    \n

    This is a paid 12-week internship opportunity and is a hybrid, in-office role.

    \n

    Here’s a glimpse into the Internship experience from some of our TRI interns!


    TEAM NAME + MISSION
    \n
    This internship opportunity falls within the Human-Centered AI Division (HCAI). We are an integrated team of ML researchers, behavior scientists, and human-computer interaction experts. At the core of our work, we aim to support people to make better decisions by leveraging the best of big data, technology, and insights about why we do what we do. 
    \n
     
    \n
    ABOUT THE INTERNSHIP
    \n
    We are seeking a highly motivated and talented PhD research intern to join our Future Product Innovation team and push the envelope on what is possible with Generative AI technologies in the domain of automotive product design. The ideal candidate will have a strong background in CAD Generation and Machine Learning or related fields, with demonstrated interest in design and generative AI. In this project, the intern will develop generative models for 3D parametric B-rep editing and design reasoning. 
    \n
     
    \n
    Over the course of the project, in addition to Future Product Innovation group meetings, the intern will also participate in all Human-Centered AI division meetings and meetings with stakeholders from relevant Toyota business groups. The intern will be exposed to how interdisciplinary industrial research works and learn from our team as well as the other interns in our division. Furthermore, the intern will engage in strategy discussions about how their research connects to business impact at Toyota.
    \n
     
    \n
    This is a Fall 2026 paid 12-week internship opportunity. 
    ","id":"ca561b23-9589-49bc-a056-7f741ff48c26","lists":[{"text":"Responsibilities ","content":"\n
  • Scope the project to align with the core research efforts.
    • \n
  • Be the primary driver of the technical plan (e.g., model development, analysis plan) with regular feedback from mentors.
    • \n
  • Execute the project using TRI resources.
    • \n
  • Present the project’s approach and findings in research meetings.
    • \n"},{"text":"Qualifications ","content":"\n
  • Currently enrolled in a PhD program in Computer Science, Machine Learning (or related fields).
    • \n
  • Experience working with CAD boundary representations such as B-rep and step-file.
    • \n
  • Experience working with relevant libraries such as pythonocc-core.
    • \n
  • Experience with deep generative models for CAD generation and reasoning.
    • \n
  • Track record of executing research projects, including publications at top venues, including but not limited to CVPR, ICCV, TOG, SIGGRAPH, NeurIPS.
    • \n
  • Desire to work on challenging open-ended research projects.
    • \n
  • Demonstrated ability to work autonomously while soliciting feedback.
    • \n
  • Excellent communication and teamwork skills.
    • \n"},{"text":"Bonus Qualifications ","content":"\n
  • Experience with developing research software prototypes.
    • \n
  • Experience adapting pre-trained models to specific tasks or domains through fine-tuning or similar techniques.
    • \n
  • Experience with working with CAD development tools.
    • \n"}],"text":"Human-Centered AI Intern, CAD Design Reasoning Machine Learning","country":"US","workplaceType":"hybrid","opening":"

    At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.

    \n

    This is a paid 12-week internship opportunity and is a hybrid, in-office role.

    \n

    Here’s a glimpse into the Internship experience from some of our TRI interns!

    ","openingPlain":"At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.\nThis is a paid 12-week internship opportunity and is a hybrid, in-office role.\nHere’s a glimpse into the Internship experience from some of our TRI interns!\n","descriptionBody":"
    TEAM NAME + MISSION
    \n
    This internship opportunity falls within the Human-Centered AI Division (HCAI). We are an integrated team of ML researchers, behavior scientists, and human-computer interaction experts. At the core of our work, we aim to support people to make better decisions by leveraging the best of big data, technology, and insights about why we do what we do. 
    \n
     
    \n
    ABOUT THE INTERNSHIP
    \n
    We are seeking a highly motivated and talented PhD research intern to join our Future Product Innovation team and push the envelope on what is possible with Generative AI technologies in the domain of automotive product design. The ideal candidate will have a strong background in CAD Generation and Machine Learning or related fields, with demonstrated interest in design and generative AI. In this project, the intern will develop generative models for 3D parametric B-rep editing and design reasoning. 
    \n
     
    \n
    Over the course of the project, in addition to Future Product Innovation group meetings, the intern will also participate in all Human-Centered AI division meetings and meetings with stakeholders from relevant Toyota business groups. The intern will be exposed to how interdisciplinary industrial research works and learn from our team as well as the other interns in our division. Furthermore, the intern will engage in strategy discussions about how their research connects to business impact at Toyota.
    \n
     
    \n
    This is a Fall 2026 paid 12-week internship opportunity. 
    ","descriptionBodyPlain":"TEAM NAME + MISSION\nThis internship opportunity falls within the Human-Centered AI Division (HCAI). We are an integrated team of ML researchers, behavior scientists, and human-computer interaction experts. At the core of our work, we aim to support people to make better decisions by leveraging the best of big data, technology, and insights about why we do what we do. \n \nABOUT THE INTERNSHIP \nWe are seeking a highly motivated and talented PhD research intern to join our Future Product Innovation team and push the envelope on what is possible with Generative AI technologies in the domain of automotive product design. The ideal candidate will have a strong background in CAD Generation and Machine Learning or related fields, with demonstrated interest in design and generative AI. In this project, the intern will develop generative models for 3D parametric B-rep editing and design reasoning. \n \nOver the course of the project, in addition to Future Product Innovation group meetings, the intern will also participate in all Human-Centered AI division meetings and meetings with stakeholders from relevant Toyota business groups. The intern will be exposed to how interdisciplinary industrial research works and learn from our team as well as the other interns in our division. Furthermore, the intern will engage in strategy discussions about how their research connects to business impact at Toyota.\n \nThis is a Fall 2026 paid 12-week internship opportunity. \n","hostedUrl":"https://jobs.lever.co/tri/ca561b23-9589-49bc-a056-7f741ff48c26","applyUrl":"https://jobs.lever.co/tri/ca561b23-9589-49bc-a056-7f741ff48c26/apply"},{"additionalPlain":"The pay range for this position at commencement of employment is expected to be between $45 and $65/hour for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, and paid time off benefits (including holiday pay and sick time). Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.\n \nPlease reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.\n \nTRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.\n \nIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.\n","additional":"
    The pay range for this position at commencement of employment is expected to be between $45 and $65/hour for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, and paid time off benefits (including holiday pay and sick time). Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.
    \n
     
    \n
    Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.
    \n
     
    \n
    TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.
    \n
     
    \n
    It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.
    ","categories":{"commitment":"Intern","department":"Human-Centered AI","location":"Los Altos, CA","team":"Internships - Fall 2026","allLocations":["Los Altos, CA"]},"createdAt":1776716169963,"descriptionPlain":"At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.\nThis is a paid 12-week internship opportunity and is a hybrid, in-office role.\nHere’s a glimpse into the Internship experience from some of our TRI interns!\n\n\nWe welcome applicants from fields such as human-computer interaction, computer sciences, affective computing, social sciences, organizational behavior, sociology, behavioral economics, human factors, or related disciplines, provided they have strong methodological training and interest in collective wellbeing. \nThe Mission\n This internship falls within the Harmonious Communities Department in the Human-Centered AI Division (HCAI). Our research aims to understand, simulate, and shape wellbeing in complex, real-world systems, including workplaces, communities, and organizations. We study how wellbeing emerges, is distributed, and changes over time across groups, and how organizational structures, technologies, and policies can support collective outcomes now and into the future. \nThe Team\n We are an integrated team of behavioral scientists, machine-learning researchers, and human-computer interaction experts. Our research leverages real-world use cases to push the state-of-the-art in disciplinary thinking.\n \nThe Internship \nWe are looking for a Human-Computer Interaction (or similar) intern to investigate how organizations produce, distribute, and manage the emotional labor of difficult workplace conversations, and what the informal adoption of AI tools in this space reveals about systemic gaps in organizational support structures.This project, situated within our conversational AI research initiative, engages foundational questions at the intersection of organizational behavior, sociotechnical systems, and AI. The project will involve conceptual work, quantitative and/or qualitative analysis, and system design, with an emphasis on multilevel thinking. Research terrains guiding the work include:\nInformal AI adoption and organizational gaps\nOrganizational production of emotional labor\nInformal peer learning networks\nTypology of difficult conversations\nThe strongest candidates will be generalists and flexible problem solvers. This internship is well-suited for candidates who are excited to build prototype solutions and take on high-risk, high-reward challenges outside of the traditional academic research setting. Bonus points for experience in Future-of-Work research or organizational behavior.\n \nOver the course of the project, in addition to Harmonious Communities group meetings, you will participate in all Human-Centered AI Division meetings and broader TRI events. You will be exposed to how interdisciplinary industrial research works and learn from our team and other interns in our division. You will also engage in strategy discussions about how your internship research connects to business impact at Toyota.\n","description":"

    At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.

    \n

    This is a paid 12-week internship opportunity and is a hybrid, in-office role.

    \n

    Here’s a glimpse into the Internship experience from some of our TRI interns!


    We welcome applicants from fields such as human-computer interaction, computer sciences, affective computing, social sciences, organizational behavior, sociology, behavioral economics, human factors, or related disciplines, provided they have strong methodological training and interest in collective wellbeing.\n

    The Mission

    \nThis internship falls within the Harmonious Communities Department in the Human-Centered AI Division (HCAI). Our research aims to understand, simulate, and shape wellbeing in complex, real-world systems, including workplaces, communities, and organizations. We study how wellbeing emerges, is distributed, and changes over time across groups, and how organizational structures, technologies, and policies can support collective outcomes now and into the future.\n

    The Team

    \nWe are an integrated team of behavioral scientists, machine-learning researchers, and human-computer interaction experts. Our research leverages real-world use cases to push the state-of-the-art in disciplinary thinking.
    \n
     
    \n

    The Internship 

    \n
    We are looking for a Human-Computer Interaction (or similar) intern to investigate how organizations produce, distribute, and manage the emotional labor of difficult workplace conversations, and what the informal adoption of AI tools in this space reveals about systemic gaps in organizational support structures.This project, situated within our conversational AI research initiative, engages foundational questions at the intersection of organizational behavior, sociotechnical systems, and AI. The project will involve conceptual work, quantitative and/or qualitative analysis, and system design, with an emphasis on multilevel thinking. Research terrains guiding the work include:
    \n
    \n\n
    \n
    The strongest candidates will be generalists and flexible problem solvers. This internship is well-suited for candidates who are excited to build prototype solutions and take on high-risk, high-reward challenges outside of the traditional academic research setting. Bonus points for experience in Future-of-Work research or organizational behavior.
    \n
     
    \n
    Over the course of the project, in addition to Harmonious Communities group meetings, you will participate in all Human-Centered AI Division meetings and broader TRI events. You will be exposed to how interdisciplinary industrial research works and learn from our team and other interns in our division. You will also engage in strategy discussions about how your internship research connects to business impact at Toyota.
    ","id":"000be2f3-b77c-4719-8476-0718c4c49a19","lists":[{"text":"Responsibilities ","content":"
    \n\n
  • \n

    Scope a research project aligned with Harmonious Communities’ HCI, Conversational AI, and Organizational Behavior research agenda.

    \n
    • \n
  • \n

    Evaluate an existing conversational AI platform and, where gaps are identified, design and prototype alternative or supplementary solutions.

    \n
    • \n
  • \n

    Drive the end-to-end research plan, with regular feedback from your mentor and teammates.

    \n
    • \n
  • \n

    Develop a taxonomy for understanding the factors shaping “difficulty” in workplace conversations.

    \n
    • \n
  • \n

    Present findings in research meetings to the Harmonious Communities Department, the HCAI Division, TRI leadership, and Toyota business group partners.

    \n
    • \n
  • \n

    Produce work that informs internal strategy and is aimed at publication in an academic journal or conference.

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

    Currently enrolled in a PhD degree program.

    \n
    • \n
  • \n

    Track record of implementing research projects from start to finish.

    \n
    • \n
  • \n

    Demonstrated experience with prototype design, as well as mixed-methods research design and analyses.

    \n
    • \n
  • \n

    Familiarity with messy, real-world data, and evidence of critical, creative thinking about how this impacts study design and insights.

    \n
    • \n
  • \n

    Ability to reason across multiple levels of analysis and translate research insights into implications for organizational decision-making.

    \n
    • \n
  • \n

    Desire to work on challenging, open-ended research projects.

    \n
    • \n
  • \n

    Desire to be part of a highly interdisciplinary team and understanding of how this will improve your work.

    \n
    • \n
  • \n

    Demonstrated ability to work autonomously while proactively soliciting feedback.

    \n
    • \n
  • \n

    Interest in wellbeing, organizational behavior, emotional labor, and/or the future of work.

    \n
    • \n\n

    Please add links to Google Scholar, GitHub, etc., and include a full list of publications and presentations when submitting your CV.

    \n
    "}],"text":"Human-Centered AI Intern: Human-Computer Interaction","country":"US","workplaceType":"hybrid","opening":"

    At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.

    \n

    This is a paid 12-week internship opportunity and is a hybrid, in-office role.

    \n

    Here’s a glimpse into the Internship experience from some of our TRI interns!

    ","openingPlain":"At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.\nThis is a paid 12-week internship opportunity and is a hybrid, in-office role.\nHere’s a glimpse into the Internship experience from some of our TRI interns!\n","descriptionBody":"
    We welcome applicants from fields such as human-computer interaction, computer sciences, affective computing, social sciences, organizational behavior, sociology, behavioral economics, human factors, or related disciplines, provided they have strong methodological training and interest in collective wellbeing.\n

    The Mission

    \nThis internship falls within the Harmonious Communities Department in the Human-Centered AI Division (HCAI). Our research aims to understand, simulate, and shape wellbeing in complex, real-world systems, including workplaces, communities, and organizations. We study how wellbeing emerges, is distributed, and changes over time across groups, and how organizational structures, technologies, and policies can support collective outcomes now and into the future.\n

    The Team

    \nWe are an integrated team of behavioral scientists, machine-learning researchers, and human-computer interaction experts. Our research leverages real-world use cases to push the state-of-the-art in disciplinary thinking.
    \n
     
    \n

    The Internship 

    \n
    We are looking for a Human-Computer Interaction (or similar) intern to investigate how organizations produce, distribute, and manage the emotional labor of difficult workplace conversations, and what the informal adoption of AI tools in this space reveals about systemic gaps in organizational support structures.This project, situated within our conversational AI research initiative, engages foundational questions at the intersection of organizational behavior, sociotechnical systems, and AI. The project will involve conceptual work, quantitative and/or qualitative analysis, and system design, with an emphasis on multilevel thinking. Research terrains guiding the work include:
    \n
    \n\n
    \n
    The strongest candidates will be generalists and flexible problem solvers. This internship is well-suited for candidates who are excited to build prototype solutions and take on high-risk, high-reward challenges outside of the traditional academic research setting. Bonus points for experience in Future-of-Work research or organizational behavior.
    \n
     
    \n
    Over the course of the project, in addition to Harmonious Communities group meetings, you will participate in all Human-Centered AI Division meetings and broader TRI events. You will be exposed to how interdisciplinary industrial research works and learn from our team and other interns in our division. You will also engage in strategy discussions about how your internship research connects to business impact at Toyota.
    ","descriptionBodyPlain":"We welcome applicants from fields such as human-computer interaction, computer sciences, affective computing, social sciences, organizational behavior, sociology, behavioral economics, human factors, or related disciplines, provided they have strong methodological training and interest in collective wellbeing. \nThe Mission\n This internship falls within the Harmonious Communities Department in the Human-Centered AI Division (HCAI). Our research aims to understand, simulate, and shape wellbeing in complex, real-world systems, including workplaces, communities, and organizations. We study how wellbeing emerges, is distributed, and changes over time across groups, and how organizational structures, technologies, and policies can support collective outcomes now and into the future. \nThe Team\n We are an integrated team of behavioral scientists, machine-learning researchers, and human-computer interaction experts. Our research leverages real-world use cases to push the state-of-the-art in disciplinary thinking.\n \nThe Internship \nWe are looking for a Human-Computer Interaction (or similar) intern to investigate how organizations produce, distribute, and manage the emotional labor of difficult workplace conversations, and what the informal adoption of AI tools in this space reveals about systemic gaps in organizational support structures.This project, situated within our conversational AI research initiative, engages foundational questions at the intersection of organizational behavior, sociotechnical systems, and AI. The project will involve conceptual work, quantitative and/or qualitative analysis, and system design, with an emphasis on multilevel thinking. Research terrains guiding the work include:\nInformal AI adoption and organizational gaps\nOrganizational production of emotional labor\nInformal peer learning networks\nTypology of difficult conversations\nThe strongest candidates will be generalists and flexible problem solvers. This internship is well-suited for candidates who are excited to build prototype solutions and take on high-risk, high-reward challenges outside of the traditional academic research setting. Bonus points for experience in Future-of-Work research or organizational behavior.\n \nOver the course of the project, in addition to Harmonious Communities group meetings, you will participate in all Human-Centered AI Division meetings and broader TRI events. You will be exposed to how interdisciplinary industrial research works and learn from our team and other interns in our division. You will also engage in strategy discussions about how your internship research connects to business impact at Toyota.\n","hostedUrl":"https://jobs.lever.co/tri/000be2f3-b77c-4719-8476-0718c4c49a19","applyUrl":"https://jobs.lever.co/tri/000be2f3-b77c-4719-8476-0718c4c49a19/apply"},{"additionalPlain":"Please add a link to Google Scholar to include a full list of publications when submitting your CV for this position.\n \nThe pay range for this position at commencement of employment is expected to be between $176,000 and $253,500/year for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, 401(k) eligibility, paid time off benefits (including vacation, sick time, and parental leave), and an annual cash bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.\n\n\nPlease reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.\n \nTRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.\n \nIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.\n","additional":"
    Please add a link to Google Scholar to include a full list of publications when submitting your CV for this position.
    \n
     
    \n
    The pay range for this position at commencement of employment is expected to be between $176,000 and $253,500/year for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, 401(k) eligibility, paid time off benefits (including vacation, sick time, and parental leave), and an annual cash bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.

    Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.
    \n
     
    \n
    TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.
    \n
     
    \n
    It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.
    ","categories":{"commitment":"Full-time","department":"Human-Centered AI","location":"Los Altos, CA","team":"Human-Centered AI","allLocations":["Los Altos, CA"]},"createdAt":1762389866472,"descriptionPlain":"At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.\n\n\nThe Team \n \nTRI’s Adaptive Behavioral Systems Department within our Human-Centered AI (HCAI) Division aims to develop AI systems that can support behavior change, such as reducing carbon emissions. To do this, we are developing novel models of human behavior that integrate behavioral science, Human-Computer Interaction, and advanced machine learning.\n \nThe Opportunity \n \nWe are looking for an AI Research Scientist, or Senior Machine Learning Research Scientist with expertise in large-scale foundational model training, fine-tuning, evaluation and benchmarking. This role operates at the forefront of generative machine learning and human behavior modeling. Ideal candidates will bring a strong research track record, hands-on experimentation skills, and experience developing and deploying foundational models. This role sits at the intersection of social science and generative AI, building models that represent human beliefs, preferences, and cognition as they change over time. For an example of our early research in this vein, please see https://arxiv.org/abs/2403.20252.\n","description":"

    At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.


    The Team 
    \n
     
    \n
    TRI’s Adaptive Behavioral Systems Department within our Human-Centered AI (HCAI) Division aims to develop AI systems that can support behavior change, such as reducing carbon emissions. To do this, we are developing novel models of human behavior that integrate behavioral science, Human-Computer Interaction, and advanced machine learning.
    \n
     
    \n
    The Opportunity
    \n
     
    \n
    We are looking for an AI Research Scientist, or Senior Machine Learning Research Scientist with expertise in large-scale foundational model training, fine-tuning, evaluation and benchmarking. This role operates at the forefront of generative machine learning and human behavior modeling. Ideal candidates will bring a strong research track record, hands-on experimentation skills, and experience developing and deploying foundational models. This role sits at the intersection of social science and generative AI, building models that represent human beliefs, preferences, and cognition as they change over time. For an example of our early research in this vein, please see https://arxiv.org/abs/2403.20252.
    ","id":"6f67ad25-840f-4cd2-9b10-b31455ed9233","lists":[{"text":"Responsibilities","content":"\n
  • Conduct machine learning research that integrates behavioral science concepts to push the boundaries of knowledge and the state of the art in Human-Centered AI.
    • \n
  • Develop and evaluate generative AI and machine learning methods for modeling and understanding human behavior.
    • \n
  • Collaborate cross-functionally with researchers in multiple fields, as well as university partners.
    • \n
  • Stay up to date on the state-of-the-art in machine learning theories, methods and tooling.
    • \n
  • Collaborate with scientists in the Adaptive Behavioral Systems Department to shape our research program and to communicate research to Toyota stakeholders.
    • \n
  • Publish research findings in academic journals and/or conferences.
    • \n
  • Contribute to technology transfer of research insights and prototypes throughout Toyota.
    • \n"},{"text":"Qualifications","content":"\n
  • PhD in computer science, machine learning, or a closely related field with 1-7 years of experience in machine learning research or related projects in an industry setting, particularly in areas related to LLM training or large-scale ML. Industry experience is a plus. 
    • \n
  • A strong publication record in ML, NLP, deep learning, or related fields.
    • \n
  • Awareness of current machine learning research and the ability to critically evaluate emerging techniques and literature.
    • \n
  • Experience with LLM/MLLM pretraining, fine-tuning (e.g., SFT, RLHF) and agentic systems.
    • \n
  • Proficiency in  Python and modern deep learning frameworks such as Pytorch or Tensorflow
    • \n
  • Ability to work collaboratively across disciplines and functions.
    • \n
  • Ability to balance multiple projects, including short-term and those that may span several years.
    • \n
  • Strong project management skills and desire to work on cutting-edge open-ended research projects.
    • \n
  • Demonstrated ability to independently identify research opportunities, formulate well-scoped problems, and lead research projects end-to-end.
    • \n
  • Demonstrated ability to work autonomously while soliciting feedback.
    • \n
  • Strong interpersonal skills. Great teammate.
    • \n"},{"text":"Bonus Qualifications","content":"\n
  • Experience with one or more of the following areas: diffusion models, uncertainty modeling, reinforcement learning, and physiological signal processing.
    • \n
  • Previous experience in human modeling (both cognitive and behavioral) with generative AI.
    • \n
  • Experience with human-centered research (e.g. computational behavioral and social science, human-computer interaction, neuro-science).
    • \n"}],"text":"Machine Learning Research Scientist, Adaptive Behavioral Systems","country":"US","workplaceType":"hybrid","opening":"

    At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.

    ","openingPlain":"At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.\n","descriptionBody":"
    The Team 
    \n
     
    \n
    TRI’s Adaptive Behavioral Systems Department within our Human-Centered AI (HCAI) Division aims to develop AI systems that can support behavior change, such as reducing carbon emissions. To do this, we are developing novel models of human behavior that integrate behavioral science, Human-Computer Interaction, and advanced machine learning.
    \n
     
    \n
    The Opportunity
    \n
     
    \n
    We are looking for an AI Research Scientist, or Senior Machine Learning Research Scientist with expertise in large-scale foundational model training, fine-tuning, evaluation and benchmarking. This role operates at the forefront of generative machine learning and human behavior modeling. Ideal candidates will bring a strong research track record, hands-on experimentation skills, and experience developing and deploying foundational models. This role sits at the intersection of social science and generative AI, building models that represent human beliefs, preferences, and cognition as they change over time. For an example of our early research in this vein, please see https://arxiv.org/abs/2403.20252.
    ","descriptionBodyPlain":"The Team \n \nTRI’s Adaptive Behavioral Systems Department within our Human-Centered AI (HCAI) Division aims to develop AI systems that can support behavior change, such as reducing carbon emissions. To do this, we are developing novel models of human behavior that integrate behavioral science, Human-Computer Interaction, and advanced machine learning.\n \nThe Opportunity \n \nWe are looking for an AI Research Scientist, or Senior Machine Learning Research Scientist with expertise in large-scale foundational model training, fine-tuning, evaluation and benchmarking. This role operates at the forefront of generative machine learning and human behavior modeling. Ideal candidates will bring a strong research track record, hands-on experimentation skills, and experience developing and deploying foundational models. This role sits at the intersection of social science and generative AI, building models that represent human beliefs, preferences, and cognition as they change over time. For an example of our early research in this vein, please see https://arxiv.org/abs/2403.20252.\n","hostedUrl":"https://jobs.lever.co/tri/6f67ad25-840f-4cd2-9b10-b31455ed9233","applyUrl":"https://jobs.lever.co/tri/6f67ad25-840f-4cd2-9b10-b31455ed9233/apply"},{"additionalPlain":"The pay range for this position at commencement of employment is expected to be between $176,000 and $253,000/year for California-based roles, and between $158,400 and $227,700/year for Massachusetts-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, 401(k) eligibility, paid time off benefits (including vacation, sick time, and parental leave), and an annual cash bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.\n\n\nPlease reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.\n \nTRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.\n \nIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.\n","additional":"
    The pay range for this position at commencement of employment is expected to be between $176,000 and $253,000/year for California-based roles, and between $158,400 and $227,700/year for Massachusetts-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, 401(k) eligibility, paid time off benefits (including vacation, sick time, and parental leave), and an annual cash bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.

    Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.
    \n
     
    \n
    TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.
    \n
     
    \n
    It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.
    ","categories":{"commitment":"Full-time","department":"Energy & Materials","location":"Los Altos, CA; Cambridge, MA","team":"Energy & Materials","allLocations":["Los Altos, CA; Cambridge, MA"]},"createdAt":1775156738162,"descriptionPlain":"At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.\n\n\nThe Team\nThe Future Factory team in TRI's Energy and Materials division focuses on developing cutting-edge tools and methods to accelerate change and increase flexibility and efficiency in Toyota's product design and manufacturing, to speed the transition to an emissions-free world. To achieve this we are building end-to-end AI systems that can reason about how physical objects are made — from design intent through to the assembly of real parts — and developing the learning infrastructure needed to train and evaluate these systems at scale.\nThe Opportunity\nWe are looking for a Research Scientist to join us in building intelligent systems for physical assembly. This role is well-suited for a recent PhD graduate with a strong implementation track record and a genuine curiosity about how things are made.\nAs a researcher on the team, you will design and implement learning pipelines from scratch, run experiments to evaluate a wide range of architectural, data, and algorithmic choices, and help shape how we apply modern machine learning to the challenges of robotic assembly. You will work at the intersection of policy learning, reinforcement learning, and physical reasoning — and have the opportunity to explore how large language models and agentic infrastructure can be brought to bear on real-world manufacturing problems.\n","description":"

    At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.


    \n

    The Team

    \n

    The Future Factory team in TRI's Energy and Materials division focuses on developing cutting-edge tools and methods to accelerate change and increase flexibility and efficiency in Toyota's product design and manufacturing, to speed the transition to an emissions-free world. To achieve this we are building end-to-end AI systems that can reason about how physical objects are made — from design intent through to the assembly of real parts — and developing the learning infrastructure needed to train and evaluate these systems at scale.

    \n

    The Opportunity

    \n

    We are looking for a Research Scientist to join us in building intelligent systems for physical assembly. This role is well-suited for a recent PhD graduate with a strong implementation track record and a genuine curiosity about how things are made.

    \n

    As a researcher on the team, you will design and implement learning pipelines from scratch, run experiments to evaluate a wide range of architectural, data, and algorithmic choices, and help shape how we apply modern machine learning to the challenges of robotic assembly. You will work at the intersection of policy learning, reinforcement learning, and physical reasoning — and have the opportunity to explore how large language models and agentic infrastructure can be brought to bear on real-world manufacturing problems.

    \n
    ","id":"8851c6af-6a0f-4fc2-8805-8d8b266d1dd3","lists":[{"text":"Responsibilities","content":"
    \n\n
  • Design and implement end-to-end modeling pipelines for machine assembly tasks, building from the ground up rather than adapting existing frameworks.
    • \n
  • Run systematic experiments to evaluate architectural variants, data collection and curation strategies, and a range of supervised and reinforcement learning techniques for physical manipulation.
    • \n
  • Develop and maintain rigorous evaluation protocols to measure policy performance across assembly scenarios, including generalization to novel parts, configurations, and failure modes.
    • \n
  • Explore how modern LLMs and agentic systems can be integrated to support physical reasoning and task planning in assembly contexts.
    • \n
  • Collaborate with researchers and engineers across TRI and Toyota's broader ecosystem to connect learning-based systems with real hardware and manufacturing workflows.
    • \n
  • Contribute to writing and publishing research results in peer-reviewed venues.
    • \n\n
    "},{"text":"Qualifications","content":"
    \n\n
  • A PhD in a relevant field such as Computer Science, Robotics, Mechanical Engineering, or a related discipline, completed recently (or nearing completion), with some post-PhD or internship work experience.
    • \n
  • A demonstrated track record of implementing non-trivial learning systems — not just running baselines, but building pipelines and components from scratch.
    • \n
  • Hands-on experience with policy learning, reinforcement learning, or robot learning, with strong intuitions about what makes these approaches succeed or fail in practice.
    • \n
  • Proficiency in Python and comfort working across the full stack of a research project, from data processing to model training to evaluation.
    • \n
  • Genuine interest in how physical products are designed and manufactured.
    • \n\n
    "},{"text":"Bonus Qualifications","content":"
    \n\n
  • Familiarity with large language models, vision-language models, or agentic AI frameworks, particularly in contexts involving structured reasoning or tool use.
    • \n
  • Experience with robot manipulation, motion planning, or sim-to-real transfer.
    • \n
  • Exposure to manufacturing processes, assembly planning, or CAD/CAM toolchains.
    • \n
  • Experience building or contributing to production-level research codebases.
    • \n\n
    "}],"text":"Machine Learning Research Scientist, Mechanical Intuition in Multimodal Models","country":"US","workplaceType":"hybrid","opening":"

    At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.

    ","openingPlain":"At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.\n","descriptionBody":"
    \n

    The Team

    \n

    The Future Factory team in TRI's Energy and Materials division focuses on developing cutting-edge tools and methods to accelerate change and increase flexibility and efficiency in Toyota's product design and manufacturing, to speed the transition to an emissions-free world. To achieve this we are building end-to-end AI systems that can reason about how physical objects are made — from design intent through to the assembly of real parts — and developing the learning infrastructure needed to train and evaluate these systems at scale.

    \n

    The Opportunity

    \n

    We are looking for a Research Scientist to join us in building intelligent systems for physical assembly. This role is well-suited for a recent PhD graduate with a strong implementation track record and a genuine curiosity about how things are made.

    \n

    As a researcher on the team, you will design and implement learning pipelines from scratch, run experiments to evaluate a wide range of architectural, data, and algorithmic choices, and help shape how we apply modern machine learning to the challenges of robotic assembly. You will work at the intersection of policy learning, reinforcement learning, and physical reasoning — and have the opportunity to explore how large language models and agentic infrastructure can be brought to bear on real-world manufacturing problems.

    \n
    ","descriptionBodyPlain":"The Team\nThe Future Factory team in TRI's Energy and Materials division focuses on developing cutting-edge tools and methods to accelerate change and increase flexibility and efficiency in Toyota's product design and manufacturing, to speed the transition to an emissions-free world. To achieve this we are building end-to-end AI systems that can reason about how physical objects are made — from design intent through to the assembly of real parts — and developing the learning infrastructure needed to train and evaluate these systems at scale.\nThe Opportunity\nWe are looking for a Research Scientist to join us in building intelligent systems for physical assembly. This role is well-suited for a recent PhD graduate with a strong implementation track record and a genuine curiosity about how things are made.\nAs a researcher on the team, you will design and implement learning pipelines from scratch, run experiments to evaluate a wide range of architectural, data, and algorithmic choices, and help shape how we apply modern machine learning to the challenges of robotic assembly. You will work at the intersection of policy learning, reinforcement learning, and physical reasoning — and have the opportunity to explore how large language models and agentic infrastructure can be brought to bear on real-world manufacturing problems.\n","hostedUrl":"https://jobs.lever.co/tri/8851c6af-6a0f-4fc2-8805-8d8b266d1dd3","applyUrl":"https://jobs.lever.co/tri/8851c6af-6a0f-4fc2-8805-8d8b266d1dd3/apply"},{"additionalPlain":"Please add a link to Google Scholar to include a full list of publications when submitting your CV for this position.\n \nThe pay range for this position at commencement of employment is expected to be between $176,000 and $253,000/year for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, 401(k) eligibility, paid time off benefits (including vacation, sick time, and parental leave), and an annual cash bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.\n\n\nPlease reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.\n \nTRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.\n \nIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.\n","additional":"
    Please add a link to Google Scholar to include a full list of publications when submitting your CV for this position.
    \n
     
    \n
    The pay range for this position at commencement of employment is expected to be between $176,000 and $253,000/year for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, 401(k) eligibility, paid time off benefits (including vacation, sick time, and parental leave), and an annual cash bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.

    Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.
    \n
     
    \n
    TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.
    \n
     
    \n
    It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.
    ","categories":{"commitment":"Full-time","department":"Automated Driving Advanced Development","location":"Los Altos, CA","team":"Automated Driving Advanced Development","allLocations":["Los Altos, CA"]},"createdAt":1771884289777,"descriptionPlain":"At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.\n\n\nThe Team\n \nThe Automated Driving Advanced Development (AD2) division at TRI will focus on enabling innovation and transformation at Toyota by building a bridge between TRI research and Toyota products, services, and needs. We achieve this through partnership, collaboration, and shared commitment. This new division is leading a new cross-organizational project between TRI and Woven by Toyota to conduct research and develop a fully end-to-end learned driving stack. This cross-org collaborative project is harmonious with TRI’s robotics divisions' efforts in Diffusion Policy and Large Behavior Models.\n \nWithin AD2, we are pursuing a focused research effort in Interpretable AI (iAI) for end-to-end learned automated driving systems, tightly coupled with AD2’s work on Large Behavior Models (LBM-Drive) and World Foundation Models (WFM), while remaining architecturally and product independent.\n \nThe Opportunity\n \nWe are seeking a Machine Learning Researcher to contribute to research on interpretable AI methods for learning-based automated driving systems. This role is ideal for a researcher who enjoys hands-on experimentation, model development, and evaluation, and who wants to work on foundational problems at the intersection of autonomy, interpretability, and safety. You will work closely with senior researchers and engineers to develop methods that make end-to-end neural driving policies more interpretable, diagnosable, and verifiable, while preserving performance and scalability. Your work will contribute to building “glass-box” representations that help engineers and researchers better understand, debug, and validate learned driving behaviors.\n","description":"

    At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.


    The Team
    \n
     
    \n
    The Automated Driving Advanced Development (AD2) division at TRI will focus on enabling innovation and transformation at Toyota by building a bridge between TRI research and Toyota products, services, and needs. We achieve this through partnership, collaboration, and shared commitment. This new division is leading a new cross-organizational project between TRI and Woven by Toyota to conduct research and develop a fully end-to-end learned driving stack. This cross-org collaborative project is harmonious with TRI’s robotics divisions' efforts in Diffusion Policy and Large Behavior Models.
    \n
     
    \n
    Within AD2, we are pursuing a focused research effort in Interpretable AI (iAI) for end-to-end learned automated driving systems, tightly coupled with AD2’s work on Large Behavior Models (LBM-Drive) and World Foundation Models (WFM), while remaining architecturally and product independent.
    \n
     
    \n
    The Opportunity
    \n
     
    \n
    We are seeking a Machine Learning Researcher to contribute to research on interpretable AI methods for learning-based automated driving systems. This role is ideal for a researcher who enjoys hands-on experimentation, model development, and evaluation, and who wants to work on foundational problems at the intersection of autonomy, interpretability, and safety. You will work closely with senior researchers and engineers to develop methods that make end-to-end neural driving policies more interpretable, diagnosable, and verifiable, while preserving performance and scalability. Your work will contribute to building “glass-box” representations that help engineers and researchers better understand, debug, and validate learned driving behaviors.
    ","id":"84dfcb59-8368-481c-acdb-50df883eadd4","lists":[{"text":"Responsibilities","content":"\n
  • Conduct research on interpretable AI methods for end-to-end learned automated driving policies, under the guidance of senior and staff researchers.
    • \n
  • Develop and evaluate structured representations of driving behavior, such as interpretable behavioral modes underlying learned neural policies.
    • \n
  • Implement methods that associate driving behavior with perceptual and contextual cues, including language-based or symbolic explanations where appropriate.
    • \n
  • Design and run experiments using large-scale learned policies and simulation infrastructure to assess interpretability, diagnostic value, and failure modes.
    • \n
  • Contribute to evaluations of explainability methods for debugging, validation, and analysis of learned driving systems in simulation and/or controlled datasets.
    • \n
  • Collaborate with researchers and engineers across AD2, LBM, and WFM teams to integrate xAI ideas into broader research workflows.
    • \n
  • Document research findings clearly and contribute to internal reports, technical presentations, and peer-reviewed publications.
    • \n
  • Stay up to date with advances in interpretable AI, representation learning, generative models, and embodied AI research.
    • \n"},{"text":"Qualifications","content":"\n
  • Master's or PhD or equivalent research experience in Machine Learning, Robotics, Computer Vision, or a related quantitative field.
    • \n
  • A demonstrated ability to conduct independent research and contribute to peer-reviewed publications at leading venues (e.g., NeurIPS, ICML, ICLR, CVPR, CoRL, RSS, ICRA).Strong foundation in modern machine learning, including deep learning, representation learning, and sequence or policy modeling.
    • \n
  • Experience implementing and evaluating ML models using Python (and familiarity with C++ in research or experimental contexts).
    • \n
  • Interest in or experience with end-to-end learning approaches for robotics or autonomous systems.
    • \n
  • Ability to work effectively in collaborative, cross-disciplinary research environments.
    • \n
  • Strong written and verbal communication skills.
    • \n"},{"text":"Bonus Qualifications","content":"\n
  • Experience with interpretable AI, or model introspection techniques.
    • \n
  • Familiarity with structured or hybrid models (e.g., latent-variable models, program induction, or discrete representations).
    • \n
  • Experience evaluating learning-based systems in closed-loop simulation or real-world embodied settings.
    • \n
  • Background in automated driving, robotics, or safety-critical AI systems.
    • \n"}],"text":"ML Research Engineer, Interpretable AI for End-to-End Automated Driving","country":"US","workplaceType":"onsite","opening":"

    At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.

    ","openingPlain":"At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.\n","descriptionBody":"
    The Team
    \n
     
    \n
    The Automated Driving Advanced Development (AD2) division at TRI will focus on enabling innovation and transformation at Toyota by building a bridge between TRI research and Toyota products, services, and needs. We achieve this through partnership, collaboration, and shared commitment. This new division is leading a new cross-organizational project between TRI and Woven by Toyota to conduct research and develop a fully end-to-end learned driving stack. This cross-org collaborative project is harmonious with TRI’s robotics divisions' efforts in Diffusion Policy and Large Behavior Models.
    \n
     
    \n
    Within AD2, we are pursuing a focused research effort in Interpretable AI (iAI) for end-to-end learned automated driving systems, tightly coupled with AD2’s work on Large Behavior Models (LBM-Drive) and World Foundation Models (WFM), while remaining architecturally and product independent.
    \n
     
    \n
    The Opportunity
    \n
     
    \n
    We are seeking a Machine Learning Researcher to contribute to research on interpretable AI methods for learning-based automated driving systems. This role is ideal for a researcher who enjoys hands-on experimentation, model development, and evaluation, and who wants to work on foundational problems at the intersection of autonomy, interpretability, and safety. You will work closely with senior researchers and engineers to develop methods that make end-to-end neural driving policies more interpretable, diagnosable, and verifiable, while preserving performance and scalability. Your work will contribute to building “glass-box” representations that help engineers and researchers better understand, debug, and validate learned driving behaviors.
    ","descriptionBodyPlain":"The Team\n \nThe Automated Driving Advanced Development (AD2) division at TRI will focus on enabling innovation and transformation at Toyota by building a bridge between TRI research and Toyota products, services, and needs. We achieve this through partnership, collaboration, and shared commitment. This new division is leading a new cross-organizational project between TRI and Woven by Toyota to conduct research and develop a fully end-to-end learned driving stack. This cross-org collaborative project is harmonious with TRI’s robotics divisions' efforts in Diffusion Policy and Large Behavior Models.\n \nWithin AD2, we are pursuing a focused research effort in Interpretable AI (iAI) for end-to-end learned automated driving systems, tightly coupled with AD2’s work on Large Behavior Models (LBM-Drive) and World Foundation Models (WFM), while remaining architecturally and product independent.\n \nThe Opportunity\n \nWe are seeking a Machine Learning Researcher to contribute to research on interpretable AI methods for learning-based automated driving systems. This role is ideal for a researcher who enjoys hands-on experimentation, model development, and evaluation, and who wants to work on foundational problems at the intersection of autonomy, interpretability, and safety. You will work closely with senior researchers and engineers to develop methods that make end-to-end neural driving policies more interpretable, diagnosable, and verifiable, while preserving performance and scalability. Your work will contribute to building “glass-box” representations that help engineers and researchers better understand, debug, and validate learned driving behaviors.\n","hostedUrl":"https://jobs.lever.co/tri/84dfcb59-8368-481c-acdb-50df883eadd4","applyUrl":"https://jobs.lever.co/tri/84dfcb59-8368-481c-acdb-50df883eadd4/apply"},{"additionalPlain":"The pay range for this position at commencement of employment is expected to be between $120,000 and $165,000/year for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, 401(k) eligibility, paid time off benefits (including vacation, sick time, and parental leave), and an annual cash bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.\n\n\nPlease reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.\n \nTRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.\n \nIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.\n","additional":"
    The pay range for this position at commencement of employment is expected to be between $120,000 and $165,000/year for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, 401(k) eligibility, paid time off benefits (including vacation, sick time, and parental leave), and an annual cash bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.

    Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.
    \n
     
    \n
    TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.
    \n
     
    \n
    It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.
    ","categories":{"commitment":"Full-time","department":"People","location":"Los Altos, CA","team":"People","allLocations":["Los Altos, CA"]},"createdAt":1770858083285,"descriptionPlain":"At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.\n","description":"

    At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.

    ","id":"0f064881-c8b2-480c-86a9-8d34fd286e5e","lists":[{"text":"Responsibilities","content":"\n
  • Partner with all leaders as a trusted advisor to understand business priorities and develop people strategies that drive organizational goals.
    • \n
  • Guide organizational design decisions, including team structures, spans and layers, and headcount planning.
    • \n
  • Coach managers and leaders on team dynamics, communication, employee development, and retention strategies.
    • \n
  • Lead or support the execution of performance management, employee engagement, and succession planning initiatives.
    • \n
  • Identify and assess workforce risks or gaps and develop proactive solutions in collaboration with the wider People organization. 
    • \n
  • Assess external trends (e.g., macroeconomic shifts, DEI benchmarks, regulatory changes) and advise on implications for talent strategy.
    • \n
  • Help drive and support change management efforts that ensure smooth transitions and consistent adoption of new programs or structures.
    • \n
  • Partner cross-functionally with other People team members (e.g., People Operations, Compensation, Talent Acquisition) to ensure aligned and scalable solutions.
    • \n"},{"text":"Qualifications","content":"\n
  • Bachelor's degree in a relevant field (e.g., Industrial & Labor Relations, Human Resources Management, Human Resources Development, Psychology, Business, etc.) preferred.
    • \n
  • 3+ years of progressive HR experience, ideally with a mix of both big tech and startup, including business partnering responsibilities.
    • \n
  • Proven expertise in resolving complex interpersonal and team misalignments, using empathy and assertiveness to address issues quickly and effectively.
    • \n
  • Comfort navigating ambiguity and adapting to frequent change with strong problem-solving and decision-making skills.
    • \n
  • Proven ability to build credibility among senior executives and influence key collaborators to drive alignment across cross-functional teams.
    • \n
  • Builds trust, helping to create a positive, collaborative work environment that fosters open communication and mutual respect.
    • \n
  • Operates at the highest level of professionalism, confidentiality, and personal integrity.
    • \n
  • Detailed, organized, and communicative, and thrives in a multi-tasking, hands-on, collaborative environment.
    • \n
  • Willingness to work in the office 2 days a week on a hybrid model.
    • \n
  • Authorization to work in the USA.
    • \n"},{"text":"Bonus Qualifications","content":"\n
  • Familiarity with organizational effectiveness tools and frameworks (e.g., engagement surveys, span/layer analysis).
    • \n
  • Knowledge of California and/or Massachusetts employment law.
    • \n
  • HR certifications (e.g., SHRM-CP, SHRM-SCP, PHR) are a plus.
    • \n"}],"text":"People Partner","country":"US","workplaceType":"hybrid","opening":"

    At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.

    ","openingPlain":"At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.\n","descriptionBody":"","descriptionBodyPlain":"","hostedUrl":"https://jobs.lever.co/tri/0f064881-c8b2-480c-86a9-8d34fd286e5e","applyUrl":"https://jobs.lever.co/tri/0f064881-c8b2-480c-86a9-8d34fd286e5e/apply"},{"additionalPlain":"The pay range for this position at commencement of employment is expected to be between $152,000 and $218,500/year for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, 401(k) eligibility, paid time off benefits (including vacation, sick time, and parental leave), and an annual cash bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.\n \n\n\nPlease reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.\n \nTRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.\n \nIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.\n","additional":"
    The pay range for this position at commencement of employment is expected to be between $152,000 and $218,500/year for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, 401(k) eligibility, paid time off benefits (including vacation, sick time, and parental leave), and an annual cash bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.
    \n
     

    Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.
    \n
     
    \n
    TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.
    \n
     
    \n
    It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.
    ","categories":{"commitment":"Research Fellow","department":"Human-Centered AI","location":"Los Altos, CA","team":"Human-Centered AI","allLocations":["Los Altos, CA"]},"createdAt":1775067971375,"descriptionPlain":"At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.\n\n\nThis postdoc opportunity falls within theHuman-Centered AI Division (HCAI). We are an integrated team of ML researchers, behavior scientists, and human-computer interaction experts. At the core of our work, we aim to support people to make better decisions by leveraging the best of big data, technology, and insights about why we do what we do. \n \nWe are seeking a highly motivated and talented postdoctoral researcher for a one-year position to join our Future Product Innovation team and push the envelope on what is possible with Generative AI technologies in the domain of automotive product design. The ideal candidate will have a strong background in CAD Generation and Machine Learning or related fields, with demonstrated interest in design and generative AI. In this project, the postdoc will develop 3D shape generation techniques constrained by design requirements and knowledge with applications to CAD. \n\nOver the course of the project, in addition to Future Product Innovation group meetings, the postdoc will also participate in all Human-Centered AI division meetings and meetings with stakeholders from relevant Toyota business groups. The postdoc will be exposed to how interdisciplinary industrial research works and how cross-functional groups collaborate. Furthermore, the postdoc will engage in strategy discussions about how their research connects to business impact at Toyota.\n","description":"

    At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.


    This postdoc opportunity falls within the Human-Centered AI Division (HCAI). We are an integrated team of ML researchers, behavior scientists, and human-computer interaction experts. At the core of our work, we aim to support people to make better decisions by leveraging the best of big data, technology, and insights about why we do what we do. 
    \n
     
    \n
    We are seeking a highly motivated and talented postdoctoral researcher for a one-year position to join our Future Product Innovation team and push the envelope on what is possible with Generative AI technologies in the domain of automotive product design. The ideal candidate will have a strong background in CAD Generation and Machine Learning or related fields, with demonstrated interest in design and generative AI. In this project, the postdoc will develop 3D shape generation techniques constrained by design requirements and knowledge with applications to CAD. 
    \n

    Over the course of the project, in addition to Future Product Innovation group meetings, the postdoc will also participate in all Human-Centered AI division meetings and meetings with stakeholders from relevant Toyota business groups. The postdoc will be exposed to how interdisciplinary industrial research works and how cross-functional groups collaborate. Furthermore, the postdoc will engage in strategy discussions about how their research connects to business impact at Toyota.
    ","id":"8255ca2d-c400-40ac-8676-c9aaef9e8cea","lists":[{"text":"Responsibilities","content":"
    In collaboration with the other researchers in the department and the stakeholders, you will:
    \n
    (1) scope the project to align to the core research efforts;
    \n
    (2) be the primary driver of the technical plan (e.g., model development, analysis plan) with regular feedback from mentors;
    \n
    (3) execute the project using TRI resources; and
    \n
    (4) present the project’s approach and findings in research meetings.
    "},{"text":"Qualifications","content":"
    \n\n
  • PhD in Computer Science, Machine Learning or related fields.
    • \n
  • Experience working with CAD data such as B-rep and step-file.
    • \n
  • Experience working with relevant libraries such as pythonocc-core for primitive fitting.
    • \n
  • Experience with multimodal generative models for boundary representations.
    • \n
  • Track record of executing research projects including publications at top venues including but not limited to CVPR, ICCV, TOG, SIGGRAPH, NeurIPS.
    • \n
  • Desire to work on challenging open-ended research projects.
    • \n
  • Demonstrated ability to work autonomously while soliciting feedback.
    • \n
  • Excellent communication and teamwork skills.
    • \n\n
    "},{"text":"Bonus Qualifications","content":"
    \n\n
  • Experience with developing research software prototypes.
    • \n
  • Experience adapting pre-trained models to specific tasks or domains through fine-tuning or similar techniques.
    • \n
  • Experience with working with CAD development tools, libraries, and/or API.
    • \n\n
    "}],"text":"Postdoctoral Researcher, CAD Generation Machine Learning","country":"US","workplaceType":"hybrid","opening":"

    At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.

    ","openingPlain":"At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.\n","descriptionBody":"
    This postdoc opportunity falls within the Human-Centered AI Division (HCAI). We are an integrated team of ML researchers, behavior scientists, and human-computer interaction experts. At the core of our work, we aim to support people to make better decisions by leveraging the best of big data, technology, and insights about why we do what we do. 
    \n
     
    \n
    We are seeking a highly motivated and talented postdoctoral researcher for a one-year position to join our Future Product Innovation team and push the envelope on what is possible with Generative AI technologies in the domain of automotive product design. The ideal candidate will have a strong background in CAD Generation and Machine Learning or related fields, with demonstrated interest in design and generative AI. In this project, the postdoc will develop 3D shape generation techniques constrained by design requirements and knowledge with applications to CAD. 
    \n

    Over the course of the project, in addition to Future Product Innovation group meetings, the postdoc will also participate in all Human-Centered AI division meetings and meetings with stakeholders from relevant Toyota business groups. The postdoc will be exposed to how interdisciplinary industrial research works and how cross-functional groups collaborate. Furthermore, the postdoc will engage in strategy discussions about how their research connects to business impact at Toyota.
    ","descriptionBodyPlain":"This postdoc opportunity falls within theHuman-Centered AI Division (HCAI). We are an integrated team of ML researchers, behavior scientists, and human-computer interaction experts. At the core of our work, we aim to support people to make better decisions by leveraging the best of big data, technology, and insights about why we do what we do. \n \nWe are seeking a highly motivated and talented postdoctoral researcher for a one-year position to join our Future Product Innovation team and push the envelope on what is possible with Generative AI technologies in the domain of automotive product design. The ideal candidate will have a strong background in CAD Generation and Machine Learning or related fields, with demonstrated interest in design and generative AI. In this project, the postdoc will develop 3D shape generation techniques constrained by design requirements and knowledge with applications to CAD. \n\nOver the course of the project, in addition to Future Product Innovation group meetings, the postdoc will also participate in all Human-Centered AI division meetings and meetings with stakeholders from relevant Toyota business groups. The postdoc will be exposed to how interdisciplinary industrial research works and how cross-functional groups collaborate. Furthermore, the postdoc will engage in strategy discussions about how their research connects to business impact at Toyota.\n","hostedUrl":"https://jobs.lever.co/tri/8255ca2d-c400-40ac-8676-c9aaef9e8cea","applyUrl":"https://jobs.lever.co/tri/8255ca2d-c400-40ac-8676-c9aaef9e8cea/apply"},{"additionalPlain":"The pay range for this position at commencement of employment is expected to be between $152,000 and $218,500/year for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, 401(k) eligibility, paid time off benefits (including vacation, sick time, and parental leave), and an annual cash bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.\n\n\nPlease reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.\n \nTRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.\n \nIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.\n","additional":"
    The pay range for this position at commencement of employment is expected to be between $152,000 and $218,500/year for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, 401(k) eligibility, paid time off benefits (including vacation, sick time, and parental leave), and an annual cash bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.

    Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.
    \n
     
    \n
    TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.
    \n
     
    \n
    It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.
    ","categories":{"commitment":"Research Fellow","department":"Human Interactive Driving","location":"Los Altos, CA","team":"Human Interactive Driving","allLocations":["Los Altos, CA"]},"createdAt":1775021067416,"descriptionPlain":"At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.\n\n\nThe Mission\nOur team uses design thinking process to place the human at the center of determining the needs, design, and implementation of human-machine interfaces. By following this process, the HMIR team creates automotive HMI technologies that allow humans of any ability to work in harmony with AI.\nThe Team\nIn the Human-Machine Interaction Research group (HMIR), we design, develop and evaluate novel interfaces to improve the safety, well-being, and performance of drivers using human-centered artificial intelligence.\nThe Opportunity\nWe are seeking a Postdoctoral Researcher for a research project exploring next-generation extended reality (XR) experiences for vehicles. The project investigates how generative AI and real-time video processing can enable new forms of visual augmentation and interaction between drivers and their environment. This role is intended for a researcher who can take ownership of core technical directions, drive implementation and evaluation, and coordinate closely with collaborators to deliver high-quality research outcomes.\nThis year-long postdoctoral research position will be highly integrated into the Human-Machine Interaction Research (HMIR) team at TRI. Please note that this opportunity will be an in-office role based in Los Altos, CA, and includes multiple trips to test tracks.\n","description":"

    At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.


    \n

    The Mission

    \n

    Our team uses design thinking process to place the human at the center of determining the needs, design, and implementation of human-machine interfaces. By following this process, the HMIR team creates automotive HMI technologies that allow humans of any ability to work in harmony with AI.

    \n

    The Team

    \n

    In the Human-Machine Interaction Research group (HMIR), we design, develop and evaluate novel interfaces to improve the safety, well-being, and performance of drivers using human-centered artificial intelligence.

    \n

    The Opportunity

    \n

    We are seeking a Postdoctoral Researcher for a research project exploring next-generation extended reality (XR) experiences for vehicles. The project investigates how generative AI and real-time video processing can enable new forms of visual augmentation and interaction between drivers and their environment. This role is intended for a researcher who can take ownership of core technical directions, drive implementation and evaluation, and coordinate closely with collaborators to deliver high-quality research outcomes.

    \n

    This year-long postdoctoral research position will be highly integrated into the Human-Machine Interaction Research (HMIR) team at TRI. Please note that this opportunity will be an in-office role based in Los Altos, CA, and includes multiple trips to test tracks.

    \n
    ","id":"f1f3a5a2-8aaa-41e1-914c-0453489bea1e","lists":[{"text":"Responsibilities","content":"
    \n\n
  • Ph.D. in Machine Learning, Computer Science, Electrical Engineering, or a related field.
    • \n
  • Track record of publications in top-tier venues (e.g. CVPR, ICCV, NeurIPS, ICML, ICLR).
    • \n
  • Strong foundation in machine learning, especially in computer vision.
    • \n
  • Extensive hands-on experience with image/video generative models.
    • \n
  • Strong programming skills in Python; experience with Linux-based development.
    • \n
  • Proven ability to lead research projects to publication-quality outcomes.
    • \n\n
    "},{"text":"Qualifications","content":"
    \n\n
  • Ph.D. in Machine Learning, Computer Science, Electrical Engineering, or a related field.
    • \n
  • Track record of publications in top-tier venues (e.g. CVPR, ICCV, NeurIPS, ICML, ICLR).
    • \n
  • Strong foundation in machine learning, especially in computer vision.
    • \n
  • Extensive hands-on experience with image/video generative models.
    • \n
  • Strong programming skills in Python; experience with Linux-based development.
    • \n
  • Proven ability to lead research projects to publication-quality outcomes.
    • \n\n
    "},{"text":"Bonus Qualifications","content":"
    \n\n
  • Experience in real-time or resource-constrained ML systems.
    • \n
  • Experience with GPU acceleration, profiling, or low-level optimization.
    • \n\n
    "}],"text":"Postdoctoral Researcher, Real-Time Generative AI for Automotive XR","country":"US","workplaceType":"hybrid","opening":"

    At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.

    ","openingPlain":"At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.\n","descriptionBody":"
    \n

    The Mission

    \n

    Our team uses design thinking process to place the human at the center of determining the needs, design, and implementation of human-machine interfaces. By following this process, the HMIR team creates automotive HMI technologies that allow humans of any ability to work in harmony with AI.

    \n

    The Team

    \n

    In the Human-Machine Interaction Research group (HMIR), we design, develop and evaluate novel interfaces to improve the safety, well-being, and performance of drivers using human-centered artificial intelligence.

    \n

    The Opportunity

    \n

    We are seeking a Postdoctoral Researcher for a research project exploring next-generation extended reality (XR) experiences for vehicles. The project investigates how generative AI and real-time video processing can enable new forms of visual augmentation and interaction between drivers and their environment. This role is intended for a researcher who can take ownership of core technical directions, drive implementation and evaluation, and coordinate closely with collaborators to deliver high-quality research outcomes.

    \n

    This year-long postdoctoral research position will be highly integrated into the Human-Machine Interaction Research (HMIR) team at TRI. Please note that this opportunity will be an in-office role based in Los Altos, CA, and includes multiple trips to test tracks.

    \n
    ","descriptionBodyPlain":"The Mission\nOur team uses design thinking process to place the human at the center of determining the needs, design, and implementation of human-machine interfaces. By following this process, the HMIR team creates automotive HMI technologies that allow humans of any ability to work in harmony with AI.\nThe Team\nIn the Human-Machine Interaction Research group (HMIR), we design, develop and evaluate novel interfaces to improve the safety, well-being, and performance of drivers using human-centered artificial intelligence.\nThe Opportunity\nWe are seeking a Postdoctoral Researcher for a research project exploring next-generation extended reality (XR) experiences for vehicles. The project investigates how generative AI and real-time video processing can enable new forms of visual augmentation and interaction between drivers and their environment. This role is intended for a researcher who can take ownership of core technical directions, drive implementation and evaluation, and coordinate closely with collaborators to deliver high-quality research outcomes.\nThis year-long postdoctoral research position will be highly integrated into the Human-Machine Interaction Research (HMIR) team at TRI. Please note that this opportunity will be an in-office role based in Los Altos, CA, and includes multiple trips to test tracks.\n","hostedUrl":"https://jobs.lever.co/tri/f1f3a5a2-8aaa-41e1-914c-0453489bea1e","applyUrl":"https://jobs.lever.co/tri/f1f3a5a2-8aaa-41e1-914c-0453489bea1e/apply"},{"additionalPlain":"Please include links to any relevant open-source contributions or technical project write-ups with your application.\n \nThe pay range for this position at commencement of employment is expected to be between $180,000 and $258,750/year for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, 401(k) eligibility, paid time off benefits (including vacation, sick time, and parental leave), and an annual cash bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.\n\n\nPlease reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.\n \nTRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.\n \nIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.\n","additional":"
    Please include links to any relevant open-source contributions or technical project write-ups with your application.
    \n
     
    \n
    The pay range for this position at commencement of employment is expected to be between $180,000 and $258,750/year for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, 401(k) eligibility, paid time off benefits (including vacation, sick time, and parental leave), and an annual cash bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.

    Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.
    \n
     
    \n
    TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.
    \n
     
    \n
    It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.
    ","categories":{"commitment":"Full-time","department":"Automated Driving Advanced Development","location":"Los Altos, CA","team":"Automated Driving Advanced Development","allLocations":["Los Altos, CA"]},"createdAt":1754350475592,"descriptionPlain":"At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.\n\n\nThe Automated Driving Advanced Development division at TRI will focus on enabling innovation and transformation at Toyota by building a bridge between TRI research and Toyota products, services, and needs. We achieve this through partnership, collaboration, and shared commitment. This new division is leading a new cross-organizational project between TRI and Woven by Toyota to conduct research and develop a fully end-to-end learned driving stack. This cross-org collaborative project is harmonious with TRI’s robotics divisions' efforts in Diffusion Policy and Large Behavior Models.\n \n \nWe are looking for a Senior Data Engineer to design and build the foundational data infrastructure and tools that power our autonomy research and development workflows. This includes large-scale ingestion pipelines, structured feature stores, labeling infrastructure, scene search and data discovery tools, and performance diagnostics for machine learning and simulation workflows.\n","description":"

    At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.


    The Automated Driving Advanced Development division at TRI will focus on enabling innovation and transformation at Toyota by building a bridge between TRI research and Toyota products, services, and needs. We achieve this through partnership, collaboration, and shared commitment. This new division is leading a new cross-organizational project between TRI and Woven by Toyota to conduct research and develop a fully end-to-end learned driving stack. This cross-org collaborative project is harmonious with TRI’s robotics divisions' efforts in Diffusion Policy and Large Behavior Models.
    \n
     
    \n
     
    \n
    We are looking for a Senior Data Engineer to design and build the foundational data infrastructure and tools that power our autonomy research and development workflows. This includes large-scale ingestion pipelines, structured feature stores, labeling infrastructure, scene search and data discovery tools, and performance diagnostics for machine learning and simulation workflows.
    ","id":"5b1a4365-272b-4541-8f7d-46f0bf0d3e4f","lists":[{"text":"Responsibilities ","content":"\n
  • Design and implement scalable, production-grade pipelines for data ingestion, transformation, storage, and retrieval from vehicle fleets and simulation environments.
    • \n
  • Build internal tools and services for data labeling, curation, indexing, and cataloging across large and diverse datasets.
    • \n
  • Collaborate with ML researchers, autonomy engineers, and data scientists to design schemas and APIs that power model training, evaluation, and debugging.
    • \n
  • Develop and maintain feature stores, metadata systems, and versioning infrastructure for structured and unstructured data.
    • \n
  • Support the generation and integration of synthetic datasets with real-world logs to enable hybrid training and simulation workflows.
    • \n
  • Optimize pipelines for cost, latency, and traceability, ensuring reproducibility and consistency across environments.
    • \n
  • Partner with simulation and cloud platform teams to automate workflows for closed-loop testing, scenario mining, and performance analytics.
    • \n"},{"text":"Qualifications","content":"\n
  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
    • \n
  • 8+ years of experience building data-intensive software systems, ideally in robotics, autonomous driving, or large-scale ML environments.
    • \n
  • Proficient in Python, SQL, and familiar with C++.
    • \n
  • Experience designing ETL pipelines using modern frameworks (e.g., Apache Spark, Flyte, Union).
    • \n
  • Strong knowledge of cloud-native architectures, including AWS services (e.g., S3, or equivalents (Google Cloud platform)
    • \n
  • Familiarity with sensor data types (camera, lidar, radar, GPS/IMU) and common data serialization formats (e.g., protobuf. ROS2bag, MCAP).
    • \n
  • Deep understanding of data quality, observability, and lineage in high-volume systems.
    • \n
  • Track record of building reliable and performant infrastructure that supports both ad-hoc exploration and repeatable production workflows.
    • \n"},{"text":"Bonus Qualifications","content":"\n
  • Experience in AD/ADAS, robotics, or autonomous systems — especially handling perception or planning datasets.
    • \n
  • Familiarity with ML pipeline orchestration frameworks (e.g. Kubeflow, SageMaker, etc).
    • \n
  • Experience working with temporal or spatial data, including geospatial indexing and time-series alignment.
    • \n
  • Exposure to synthetic data generation, simulation logging, or scenario replay pipelines.
    • \n
  • Strong software engineering fundamentals, CI/CD, testing, code review, and service deployment best practices.
    • \n
  • Experience collaborating with cross-functional, distributed teams across research and production orgs.
    • \n"}],"text":"Senior Data Engineer","country":"US","workplaceType":"hybrid","opening":"

    At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.

    ","openingPlain":"At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.\n","descriptionBody":"
    The Automated Driving Advanced Development division at TRI will focus on enabling innovation and transformation at Toyota by building a bridge between TRI research and Toyota products, services, and needs. We achieve this through partnership, collaboration, and shared commitment. This new division is leading a new cross-organizational project between TRI and Woven by Toyota to conduct research and develop a fully end-to-end learned driving stack. This cross-org collaborative project is harmonious with TRI’s robotics divisions' efforts in Diffusion Policy and Large Behavior Models.
    \n
     
    \n
     
    \n
    We are looking for a Senior Data Engineer to design and build the foundational data infrastructure and tools that power our autonomy research and development workflows. This includes large-scale ingestion pipelines, structured feature stores, labeling infrastructure, scene search and data discovery tools, and performance diagnostics for machine learning and simulation workflows.
    ","descriptionBodyPlain":"The Automated Driving Advanced Development division at TRI will focus on enabling innovation and transformation at Toyota by building a bridge between TRI research and Toyota products, services, and needs. We achieve this through partnership, collaboration, and shared commitment. This new division is leading a new cross-organizational project between TRI and Woven by Toyota to conduct research and develop a fully end-to-end learned driving stack. This cross-org collaborative project is harmonious with TRI’s robotics divisions' efforts in Diffusion Policy and Large Behavior Models.\n \n \nWe are looking for a Senior Data Engineer to design and build the foundational data infrastructure and tools that power our autonomy research and development workflows. This includes large-scale ingestion pipelines, structured feature stores, labeling infrastructure, scene search and data discovery tools, and performance diagnostics for machine learning and simulation workflows.\n","hostedUrl":"https://jobs.lever.co/tri/5b1a4365-272b-4541-8f7d-46f0bf0d3e4f","applyUrl":"https://jobs.lever.co/tri/5b1a4365-272b-4541-8f7d-46f0bf0d3e4f/apply"},{"additionalPlain":"The pay range for this position at commencement of employment is expected to be between $180,000 and $258,750/year for California-based roles, and between $162,000 and $232,875/year for Massachusetts-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, 401(k) eligibility, paid time off benefits (including vacation, sick time, and parental leave), and an annual cash bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.\n\n\nPlease reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.\n \nTRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.\n \nIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.\n","additional":"
    The pay range for this position at commencement of employment is expected to be between $180,000 and $258,750/year for California-based roles, and between $162,000 and $232,875/year for Massachusetts-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, 401(k) eligibility, paid time off benefits (including vacation, sick time, and parental leave), and an annual cash bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.

    Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.
    \n
     
    \n
    TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.
    \n
     
    \n
    It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.
    ","categories":{"commitment":"Full-time","department":"Energy & Materials","location":"Los Altos, CA; Cambridge, MA","team":"Energy & Materials","allLocations":["Los Altos, CA; Cambridge, MA"]},"createdAt":1775161266682,"descriptionPlain":"At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.\n\n\nThe Team\nThe Future Factory team in TRI's Energy and Materials division focuses on developing cutting-edge tools and methods to accelerate change and increase flexibility and efficiency in Toyota's product design and manufacturing, to speed the transition to an emissions-free world. To achieve this we are building end-to-end AI systems that can reason about how physical objects are designed and made — from geometry and constraints through to simulation and assembly — and developing the engineering infrastructure needed to train, evaluate, and iterate on these systems at scale.\nThe Opportunity\nWe are looking for a Senior Research Engineer to join us in building the systems and tools that power our research on physical AI. This role is well-suited for someone with a strong software engineering foundation, deep experience working with geometry or physical modeling, and a genuine interest in how things are made.\nAs a research engineer on the team, you will design and build the pipelines and tooling that allow researchers to move fast and measure what matters — from large-scale training and evaluation infrastructure to the geometry processing and physics-aware components at the core of our models. You will work at the intersection of software engineering and research, translating emerging ideas into robust, production-quality implementations.\n","description":"

    At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.


    \n

    The Team

    \n

    The Future Factory team in TRI's Energy and Materials division focuses on developing cutting-edge tools and methods to accelerate change and increase flexibility and efficiency in Toyota's product design and manufacturing, to speed the transition to an emissions-free world. To achieve this we are building end-to-end AI systems that can reason about how physical objects are designed and made — from geometry and constraints through to simulation and assembly — and developing the engineering infrastructure needed to train, evaluate, and iterate on these systems at scale.

    \n

    The Opportunity

    \n

    We are looking for a Senior Research Engineer to join us in building the systems and tools that power our research on physical AI. This role is well-suited for someone with a strong software engineering foundation, deep experience working with geometry or physical modeling, and a genuine interest in how things are made.

    \n

    As a research engineer on the team, you will design and build the pipelines and tooling that allow researchers to move fast and measure what matters — from large-scale training and evaluation infrastructure to the geometry processing and physics-aware components at the core of our models. You will work at the intersection of software engineering and research, translating emerging ideas into robust, production-quality implementations.

    \n
    ","id":"e4d761a6-fe06-4494-92d8-4775c0e6f4b9","lists":[{"text":"Responsibilities ","content":"
    \n\n
  • Design, build, and maintain robust and efficient pipelines for model training and evaluation, with a focus on reliability, scalability, and researcher productivity.
    • \n
  • Develop tools and frameworks to measure and improve model performance across multiple dimensions, including accuracy, generalization, and computational efficiency.
    • \n
  • Collaborate closely with researchers to translate emerging techniques and experimental findings into clean, production-ready implementations.
    • \n
  • Build high-performance systems for geometry manipulation, processing, and modeling, including integration with CAD, CAM, or related geometric representations.
    • \n
  • Contribute to the team's shared infrastructure and codebase, raising the standard for code quality, testing, and documentation.
    • \n\n
    "},{"text":"Qualifications","content":"
    \n\n
  • An MS or equivalent in Computer Science, Robotics, Mechanical Engineering, or a related field, plus several years of relevant industry or research experience.
    • \n
  • A strong track record of designing and shipping reliable software systems, with an ability to work across the full stack of a research engineering project.
    • \n
  • Experience working with computational geometry, CAD, CAM, or graphics systems, and a clear understanding of the challenges involved in processing and representing complex 3D geometry.
    • \n
  • Experience building performant systems for geometry manipulation or modeling — including efficient data structures, algorithms, or GPU-accelerated pipelines.
    • \n
  • Interest in manufacturing, simulation, or process automation, and enthusiasm for working in a domain where software has direct physical consequences.
    • \n\n
    "},{"text":"Bonus Qualifications","content":"
    \n\n
  • Familiarity with topology optimization, constraint solving, or CSG representations, and experience applying these in applied research or production contexts.
    • \n
  • Experience with physical modeling in some form — finite element analysis, neural ODEs or PDEs, or physical simulation frameworks such as MuJoCo, Taichi, or similar tools.
    • \n
  • Exposure to machine learning model development, including training pipelines, evaluation harnesses, and experiment tracking at scale.
    • \n
  • Prior experience in a research lab or research-adjacent engineering role, with an appreciation for how to balance rigor and velocity.
    • \n\n
    "}],"text":"Senior Research Engineer, Mechanical Intuition in Multimodal Models","country":"US","workplaceType":"hybrid","opening":"

    At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.

    ","openingPlain":"At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.\n","descriptionBody":"
    \n

    The Team

    \n

    The Future Factory team in TRI's Energy and Materials division focuses on developing cutting-edge tools and methods to accelerate change and increase flexibility and efficiency in Toyota's product design and manufacturing, to speed the transition to an emissions-free world. To achieve this we are building end-to-end AI systems that can reason about how physical objects are designed and made — from geometry and constraints through to simulation and assembly — and developing the engineering infrastructure needed to train, evaluate, and iterate on these systems at scale.

    \n

    The Opportunity

    \n

    We are looking for a Senior Research Engineer to join us in building the systems and tools that power our research on physical AI. This role is well-suited for someone with a strong software engineering foundation, deep experience working with geometry or physical modeling, and a genuine interest in how things are made.

    \n

    As a research engineer on the team, you will design and build the pipelines and tooling that allow researchers to move fast and measure what matters — from large-scale training and evaluation infrastructure to the geometry processing and physics-aware components at the core of our models. You will work at the intersection of software engineering and research, translating emerging ideas into robust, production-quality implementations.

    \n
    ","descriptionBodyPlain":"The Team\nThe Future Factory team in TRI's Energy and Materials division focuses on developing cutting-edge tools and methods to accelerate change and increase flexibility and efficiency in Toyota's product design and manufacturing, to speed the transition to an emissions-free world. To achieve this we are building end-to-end AI systems that can reason about how physical objects are designed and made — from geometry and constraints through to simulation and assembly — and developing the engineering infrastructure needed to train, evaluate, and iterate on these systems at scale.\nThe Opportunity\nWe are looking for a Senior Research Engineer to join us in building the systems and tools that power our research on physical AI. This role is well-suited for someone with a strong software engineering foundation, deep experience working with geometry or physical modeling, and a genuine interest in how things are made.\nAs a research engineer on the team, you will design and build the pipelines and tooling that allow researchers to move fast and measure what matters — from large-scale training and evaluation infrastructure to the geometry processing and physics-aware components at the core of our models. You will work at the intersection of software engineering and research, translating emerging ideas into robust, production-quality implementations.\n","hostedUrl":"https://jobs.lever.co/tri/e4d761a6-fe06-4494-92d8-4775c0e6f4b9","applyUrl":"https://jobs.lever.co/tri/e4d761a6-fe06-4494-92d8-4775c0e6f4b9/apply"},{"additionalPlain":"Please include links to any relevant open-source contributions or technical project write-ups with your application.\n \nThe pay range for this position at commencement of employment is expected to be between $180,000 and $258,750/year for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, 401(k) eligibility, paid time off benefits (including vacation, sick time, and parental leave), and an annual cash bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.\n \nPlease reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.\n \nTRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.\n \nIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment. \n","additional":"
    Please include links to any relevant open-source contributions or technical project write-ups with your application.
    \n
     
    \n
    The pay range for this position at commencement of employment is expected to be between $180,000 and $258,750/year for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, 401(k) eligibility, paid time off benefits (including vacation, sick time, and parental leave), and an annual cash bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.
    \n
     
    \n
    Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.
    \n
     
    \n
    TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.
    \n
     
    \n
    It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.
    ","categories":{"commitment":"Full-time","department":"Automated Driving Advanced Development","location":"Los Altos, CA","team":"Automated Driving Advanced Development","allLocations":["Los Altos, CA"]},"createdAt":1754339072219,"descriptionPlain":"At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences. \n \n \nThe Automated Driving Advanced Development division at TRI will focus on enabling innovation and transformation at Toyota by building a bridge between TRI research and Toyota products, services, and needs. We achieve this through partnership, collaboration, and shared commitment. This new division is leading a new cross-organizational project between TRI and Woven by Toyota to conduct research and develop a fully end-to-end learned driving stack. This cross-org collaborative project is harmonious with TRI’s robotics divisions' efforts in Diffusion Policy and Large Behavior Models.\n \n \nWe are looking for a Senior Software Engineer to join our end-to-end automated driving team, supporting the integration, prototyping, and deployment of advanced autonomy systems on vehicle platforms. As a software generalist with deep systems knowledge, you will work across the autonomy software stack to accelerate feature development, streamline system-level integration, and help validate both closed-course and public road deployments.\n \n \nThe ideal candidate has strong modern C++ (C++14/17/20) and Python programming experience, a robust understanding of robotics or embedded software systems, and thrives in collaborative, high-velocity engineering environments. This role bridges research and real-world deployment, focusing on engineering support for platform integration, evaluation tooling, system bring-up, and diagnostics. You'll partner closely with end-to-end machine learning, simulation and infrastructure teams to ensure that the full stack runs robustly on real vehicles in closed-course, public road and simulation testing.\n \n \nThis work is part of Toyota’s global AI efforts and will be conducted in close collaboration with teams across TRI, Woven by Toyota, and other engineering partners.\n","description":"
    At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences. 
    \n
     
    \n
     
    \n
    The Automated Driving Advanced Development division at TRI will focus on enabling innovation and transformation at Toyota by building a bridge between TRI research and Toyota products, services, and needs. We achieve this through partnership, collaboration, and shared commitment. This new division is leading a new cross-organizational project between TRI and Woven by Toyota to conduct research and develop a fully end-to-end learned driving stack. This cross-org collaborative project is harmonious with TRI’s robotics divisions' efforts in Diffusion Policy and Large Behavior Models.
    \n
     
    \n
     
    \n
    We are looking for a Senior Software Engineer to join our end-to-end automated driving team, supporting the integration, prototyping, and deployment of advanced autonomy systems on vehicle platforms. As a software generalist with deep systems knowledge, you will work across the autonomy software stack to accelerate feature development, streamline system-level integration, and help validate both closed-course and public road deployments.
    \n
     
    \n
     
    \n
    The ideal candidate has strong modern C++ (C++14/17/20) and Python programming experience, a robust understanding of robotics or embedded software systems, and thrives in collaborative, high-velocity engineering environments. This role bridges research and real-world deployment, focusing on engineering support for platform integration, evaluation tooling, system bring-up, and diagnostics. You'll partner closely with end-to-end machine learning, simulation and infrastructure teams to ensure that the full stack runs robustly on real vehicles in closed-course, public road and simulation testing.
    \n
     
    \n
     
    \n
    This work is part of Toyota’s global AI efforts and will be conducted in close collaboration with teams across TRI, Woven by Toyota, and other engineering partners.
    ","id":"a19f09b8-4765-4e12-a2f8-16e5c2f46a34","lists":[{"text":"Responsibilities ","content":"\n
  • Design, implement, and maintain robust software in C++ and Python, that supports ML training, evaluation, and inference workflows.
    • \n
  • Build and maintain ML tooling for dataset handling, experiment tracking, metrics computation, and offline/online analysis.
    • \n
  • Enable model export and edge inference prototyping, including model packaging, runtime integration, and performance validation on embedded compute platforms.
    • \n
  • Build diagnostics, monitoring, logging, and introspection tools that provide visibility into runtime end-to-end machine learning model behavior and help accelerate iteration.
    • \n
  • Collaborate with ML researchers to translate experimental models into repeatable, production-ready pipelines.
    • \n
  • Support CI and automation for training, evaluation, and inference workflows.
    • \n
  • Partner with cross-functional teams to support software deployment and versioning, ensuring consistent behavior across environments.
    • \n
  • Apply rigorous engineering best practices, including code review, documentation, and testing, to deliver robust and maintainable systems.
    • \n"},{"text":"Qualifications","content":"\n
  • Bachelor or master degree in Computer Science, Robotics, or a related field.
    • \n
  • 10+ years of relevant software development experience, ideally in robotics, automotive, embedded systems, or distributed platforms.
    • \n
  • Strong proficiency in modern C++ (C++14/17/20) and Python.
    • \n
  • Familiarity with Linux systems programming (e.g., sockets, filesystems, threading) and real-time systems.
    • \n
  • Experience building ML platforms, data pipelines, or distributed software systems and supporting machine learning training or inference pipelines.
    • \n
  • Familiarity with ML frameworks (PyTorch, TensorFlow), model deployment tools (TensorRT, ONNX, TorchScript) and inference runtimes.
    • \n
  • Familiarity with Linux-based development environments and production debugging.
    • \n
  • Experience integrating and debugging complex software systems, ideally in robotic or automated driving platforms.
    • \n
  • Proven ability to work hands-on and cross-functionally to solve real-world deployment issues.
    • \n"},{"text":"Bonus Qualifications","content":"\n
  • Experience in automated driving, robotics, or simulation-based system testing.
    • \n
  • Hands-on experience with embedded systems development, including work on platforms such as NVIDIA Jetson Orin, Qualcomm Snapdragon Ride, or similar automotive-grade SoCs.
    • \n
  • Familiarity with container orchestration (Docker, Kubernetes), or orchestration tools for testing and deployment.
    • \n
  • Experience working with distributed compute systems, large-scale data logging, or introspection frameworks.
    • \n
  • Understanding of automotive software practices and standards (e.g., ISO 26262, safety-critical development).
    • \n
  • Prior experience in fast-paced R&D environments bridging research and production.
    • \n"}],"text":"Senior Software Engineer","country":"US","workplaceType":"hybrid","opening":"","openingPlain":"","descriptionBody":"
    At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences. 
    \n
     
    \n
     
    \n
    The Automated Driving Advanced Development division at TRI will focus on enabling innovation and transformation at Toyota by building a bridge between TRI research and Toyota products, services, and needs. We achieve this through partnership, collaboration, and shared commitment. This new division is leading a new cross-organizational project between TRI and Woven by Toyota to conduct research and develop a fully end-to-end learned driving stack. This cross-org collaborative project is harmonious with TRI’s robotics divisions' efforts in Diffusion Policy and Large Behavior Models.
    \n
     
    \n
     
    \n
    We are looking for a Senior Software Engineer to join our end-to-end automated driving team, supporting the integration, prototyping, and deployment of advanced autonomy systems on vehicle platforms. As a software generalist with deep systems knowledge, you will work across the autonomy software stack to accelerate feature development, streamline system-level integration, and help validate both closed-course and public road deployments.
    \n
     
    \n
     
    \n
    The ideal candidate has strong modern C++ (C++14/17/20) and Python programming experience, a robust understanding of robotics or embedded software systems, and thrives in collaborative, high-velocity engineering environments. This role bridges research and real-world deployment, focusing on engineering support for platform integration, evaluation tooling, system bring-up, and diagnostics. You'll partner closely with end-to-end machine learning, simulation and infrastructure teams to ensure that the full stack runs robustly on real vehicles in closed-course, public road and simulation testing.
    \n
     
    \n
     
    \n
    This work is part of Toyota’s global AI efforts and will be conducted in close collaboration with teams across TRI, Woven by Toyota, and other engineering partners.
    ","descriptionBodyPlain":"At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences. \n \n \nThe Automated Driving Advanced Development division at TRI will focus on enabling innovation and transformation at Toyota by building a bridge between TRI research and Toyota products, services, and needs. We achieve this through partnership, collaboration, and shared commitment. This new division is leading a new cross-organizational project between TRI and Woven by Toyota to conduct research and develop a fully end-to-end learned driving stack. This cross-org collaborative project is harmonious with TRI’s robotics divisions' efforts in Diffusion Policy and Large Behavior Models.\n \n \nWe are looking for a Senior Software Engineer to join our end-to-end automated driving team, supporting the integration, prototyping, and deployment of advanced autonomy systems on vehicle platforms. As a software generalist with deep systems knowledge, you will work across the autonomy software stack to accelerate feature development, streamline system-level integration, and help validate both closed-course and public road deployments.\n \n \nThe ideal candidate has strong modern C++ (C++14/17/20) and Python programming experience, a robust understanding of robotics or embedded software systems, and thrives in collaborative, high-velocity engineering environments. This role bridges research and real-world deployment, focusing on engineering support for platform integration, evaluation tooling, system bring-up, and diagnostics. You'll partner closely with end-to-end machine learning, simulation and infrastructure teams to ensure that the full stack runs robustly on real vehicles in closed-course, public road and simulation testing.\n \n \nThis work is part of Toyota’s global AI efforts and will be conducted in close collaboration with teams across TRI, Woven by Toyota, and other engineering partners.\n","hostedUrl":"https://jobs.lever.co/tri/a19f09b8-4765-4e12-a2f8-16e5c2f46a34","applyUrl":"https://jobs.lever.co/tri/a19f09b8-4765-4e12-a2f8-16e5c2f46a34/apply"},{"additionalPlain":"The pay range for this position at the commencement of employment is expected to be between $120,000 and $155,000/year for California-based roles; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Note that TRI offers a generous benefits package (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave) and an annual cash bonus structure. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.\n \n\n\nPlease reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.\n \nTRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.\n \nIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.\n","additional":"
    The pay range for this position at the commencement of employment is expected to be between $120,000 and $155,000/year for California-based roles; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Note that TRI offers a generous benefits package (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave) and an annual cash bonus structure. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
    \n
     

    \n
    Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.
    \n
     
    \n
    TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.
    \n
     
    \n
    It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.
    \n
    ","categories":{"commitment":"Full-time","department":"Venture Capital","location":"Los Altos, CA; San Francisco, CA; Remote","team":"Toyota Ventures","allLocations":["Los Altos, CA; San Francisco, CA; Remote"]},"createdAt":1769121214480,"descriptionPlain":"Founded in 2017, Toyota Ventures is a San Francisco Bay Area-based venture capital firm with $800M+ AUM that invests in early-stage startups around the world in deep tech and climate solutions. We are on a mission to discover what’s next for Toyota by helping startups bring groundbreaking technologies and business models to market quickly. We’ve invested in over 100 companies to date, including AM Batteries, Apex Space, Axiom Math, Bipi (acquired), Blackmore (acquired), Efficient Computer, e-Zinc, Intuition Robotics, Joby Aviation (NYSE: Joby), Natura Resources, Pickle Robot, and Stoke Space.\n \nOur firm is growing and we are looking for an associate for the Toyota Ventures Frontier Fund(s) to help source and screen innovative companies in areas like AI, advanced materials, automation and robotics, and space tech. Along with a degree in a relevant field and a minimum of 4 years of related work experience, we are seeking someone with a strong understanding of deep tech. Hands-on experience in a development or product management role related to one of our investment areas is a plus. The role also requires excellent written and verbal communication skills, an understanding of industry trends, and a knack for spotting the early stage startups that are defining those trends. \n \nThe ideal candidate will be a natural networker who is already plugged into the startup ecosystem and is familiar with leading entrepreneurs and investors in deep tech. Experience creating cap tables, digesting financial statements, and preparing investment memos is also important. We also value diversity, acting with integrity, being humble but bold, and “keeping it weird.”  If this sounds like a good fit, and you’re passionate about finding and funding innovative companies, we look forward to hearing from you!\n \nThis role is based in the San Francisco Bay Area (we have offices in both San Francisco and Los Altos, CA), but remote work within other U.S. cities is possible.\n","description":"
    Founded in 2017, Toyota Ventures is a San Francisco Bay Area-based venture capital firm with $800M+ AUM that invests in early-stage startups around the world in deep tech and climate solutions. We are on a mission to discover what’s next for Toyota by helping startups bring groundbreaking technologies and business models to market quickly. We’ve invested in over 100 companies to date, including AM Batteries, Apex Space, Axiom Math, Bipi (acquired), Blackmore (acquired), Efficient Computer, e-Zinc, Intuition Robotics, Joby Aviation (NYSE: Joby), Natura Resources, Pickle Robot, and Stoke Space.
    \n
     
    \n
    Our firm is growing and we are looking for an associate for the Toyota Ventures Frontier Fund(s) to help source and screen innovative companies in areas like AI, advanced materials, automation and robotics, and space tech. Along with a degree in a relevant field and a minimum of 4 years of related work experience, we are seeking someone with a strong understanding of deep tech. Hands-on experience in a development or product management role related to one of our investment areas is a plus. The role also requires excellent written and verbal communication skills, an understanding of industry trends, and a knack for spotting the early stage startups that are defining those trends. 
    \n
     
    \n
    The ideal candidate will be a natural networker who is already plugged into the startup ecosystem and is familiar with leading entrepreneurs and investors in deep tech. Experience creating cap tables, digesting financial statements, and preparing investment memos is also important. We also value diversity, acting with integrity, being humble but bold, and “keeping it weird.”  If this sounds like a good fit, and you’re passionate about finding and funding innovative companies, we look forward to hearing from you!
    \n
     
    \n
    This role is based in the San Francisco Bay Area (we have offices in both San Francisco and Los Altos, CA), but remote work within other U.S. cities is possible.
    ","id":"42c0845c-218c-47f0-8546-ffb3903cf4e5","lists":[{"text":"Responsibilities","content":"\n
  • Network and take part in industry and VC events, organizations
    • \n
  • Help generate deal-flow and source high-potential target companies 
    • \n
  • Meet with and evaluate companies to make recommendations on investing
    • \n
  • Participate in due diligence, competitive analyses, and industry deep dives
    • \n
  • Prepare memos and present potential investments to the Investment Committee
    • \n
  • Support deal negotiations and closings
    • \n
  • Analyze latest industry trends and author market research briefings 
    • \n
  • Collaborate with Toyota Ventures platform team to support portfolio companies 
    • \n"},{"text":"Qualifications","content":"\n
  • 4+ years of work experience in related role; previous experience in venture capital or an operational role in a technology company preferred 
    • \n
  • Bachelor's degree in business, computer science, engineering or relevant field
    • \n
  • High level of integrity and professionalism, with ability to maintain strict confidentiality
    • \n
  • Entrepreneurial-minded and well-networked
    • \n
  • Excellent communication and interpersonal skills
    • \n
  • Strong financial modeling and analysis skills 
    • \n
  • Extensive experience working with Excel and Google Suite
    • \n
  • Comfortable with ambiguity and risk
    • \n
  • Ability to work collaboratively with team members
    • \n
  • Track record of successfully completing projects with minimal guidance
    • \n
  • Passion for learning about new technologies and understanding their business potential 
    • \n"}],"text":"VC Associate","country":"US","workplaceType":"hybrid","opening":"","openingPlain":"","descriptionBody":"
    Founded in 2017, Toyota Ventures is a San Francisco Bay Area-based venture capital firm with $800M+ AUM that invests in early-stage startups around the world in deep tech and climate solutions. We are on a mission to discover what’s next for Toyota by helping startups bring groundbreaking technologies and business models to market quickly. We’ve invested in over 100 companies to date, including AM Batteries, Apex Space, Axiom Math, Bipi (acquired), Blackmore (acquired), Efficient Computer, e-Zinc, Intuition Robotics, Joby Aviation (NYSE: Joby), Natura Resources, Pickle Robot, and Stoke Space.
    \n
     
    \n
    Our firm is growing and we are looking for an associate for the Toyota Ventures Frontier Fund(s) to help source and screen innovative companies in areas like AI, advanced materials, automation and robotics, and space tech. Along with a degree in a relevant field and a minimum of 4 years of related work experience, we are seeking someone with a strong understanding of deep tech. Hands-on experience in a development or product management role related to one of our investment areas is a plus. The role also requires excellent written and verbal communication skills, an understanding of industry trends, and a knack for spotting the early stage startups that are defining those trends. 
    \n
     
    \n
    The ideal candidate will be a natural networker who is already plugged into the startup ecosystem and is familiar with leading entrepreneurs and investors in deep tech. Experience creating cap tables, digesting financial statements, and preparing investment memos is also important. We also value diversity, acting with integrity, being humble but bold, and “keeping it weird.”  If this sounds like a good fit, and you’re passionate about finding and funding innovative companies, we look forward to hearing from you!
    \n
     
    \n
    This role is based in the San Francisco Bay Area (we have offices in both San Francisco and Los Altos, CA), but remote work within other U.S. cities is possible.
    ","descriptionBodyPlain":"Founded in 2017, Toyota Ventures is a San Francisco Bay Area-based venture capital firm with $800M+ AUM that invests in early-stage startups around the world in deep tech and climate solutions. We are on a mission to discover what’s next for Toyota by helping startups bring groundbreaking technologies and business models to market quickly. We’ve invested in over 100 companies to date, including AM Batteries, Apex Space, Axiom Math, Bipi (acquired), Blackmore (acquired), Efficient Computer, e-Zinc, Intuition Robotics, Joby Aviation (NYSE: Joby), Natura Resources, Pickle Robot, and Stoke Space.\n \nOur firm is growing and we are looking for an associate for the Toyota Ventures Frontier Fund(s) to help source and screen innovative companies in areas like AI, advanced materials, automation and robotics, and space tech. Along with a degree in a relevant field and a minimum of 4 years of related work experience, we are seeking someone with a strong understanding of deep tech. Hands-on experience in a development or product management role related to one of our investment areas is a plus. The role also requires excellent written and verbal communication skills, an understanding of industry trends, and a knack for spotting the early stage startups that are defining those trends. \n \nThe ideal candidate will be a natural networker who is already plugged into the startup ecosystem and is familiar with leading entrepreneurs and investors in deep tech. Experience creating cap tables, digesting financial statements, and preparing investment memos is also important. We also value diversity, acting with integrity, being humble but bold, and “keeping it weird.”  If this sounds like a good fit, and you’re passionate about finding and funding innovative companies, we look forward to hearing from you!\n \nThis role is based in the San Francisco Bay Area (we have offices in both San Francisco and Los Altos, CA), but remote work within other U.S. cities is possible.\n","hostedUrl":"https://jobs.lever.co/tri/42c0845c-218c-47f0-8546-ffb3903cf4e5","applyUrl":"https://jobs.lever.co/tri/42c0845c-218c-47f0-8546-ffb3903cf4e5/apply"}]