[{"additionalPlain":"The pay range for this position at commencement of employment is expected to be between $134,000 and $167,900/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 $134,000 and $167,900/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
\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.
","categories":{"commitment":"Full-time","department":"Operations","location":"Los Altos, CA","team":"Operations","allLocations":["Los Altos, CA"]},"createdAt":1787606056959,"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\nAbout the Role: \nWe are seeking a highly skilled and resourceful Executive Assistant to provide dual support to the VP of Communications and the Director, Head of People. This role requires a proactive individual with exceptional judgment, strong discretion, and the ability to manage complex, cross-functional priorities across two distinct leadership functions. The ideal candidate is a trusted partner who operates with autonomy, anticipates needs before they arise, and ensures seamless execution for both executives.\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
About the Role:
\n
We are seeking a highly skilled and resourceful Executive Assistant to provide dual support to the VP of Communications and the Director, Head of People. This role requires a proactive individual with exceptional judgment, strong discretion, and the ability to manage complex, cross-functional priorities across two distinct leadership functions. The ideal candidate is a trusted partner who operates with autonomy, anticipates needs before they arise, and ensures seamless execution for both executives.
\n
\n\n
\nManage the executive's calendar, correspondence, and meeting cadences with a strong understanding of team priorities and business rhythms.
\n\n
\nHandle sensitive information with a high degree of confidentiality and discretion at all times.
\n\n
\nAnticipate needs and proactively coordinate resources to support executives before requests become urgent.
\n\n
\nPlan and coordinate highly complex international and domestic travel, including detailed itinerary and logistics management.
\n\n
\nServe as a trusted gatekeeper and point of contact for internal and external stakeholders, maintaining professionalism and discretion at all times.
\n\n
\nPrepare and manage expense reports, purchase orders, and financial documentation accurately and promptly.
\n\n
\nPartner with the broader Executive Assistant team to coordinate cross-functional schedules, staff meetings, agendas, and action item tracking.
\n\n
\nHandle incoming correspondence and requests, triaging and following through independently as appropriate.
\n\n
\nOwn day-to-day administrative operations, including expense reporting, filing systems, vendor contract support, meeting agendas, and document retention.
\n\n
\nManage schedules and communications across US time zones, with flexibility to accommodate international time zones, including Japan and other locations, as business needs and executive travel require.
\n\n
\nProvide coverage for EA team members on vacation to ensure continuity of support.
\n\n\n
\n\n
\nA bachelor’s degree is strongly preferred.
\n\n
\nMinimum eight (8) years of administrative experience, including at least 4 years in direct support of VP-level executives or equivalent.
\n\n
\nExperienced managing executive workflows and deliverables with high autonomy and sound judgment, communicating professionally and representing leadership with discretion across all interactions.
\n\n
\nStrong judgment and decision-making, with the ability to balance strategic perspective and tactical execution.
\n\n
\nProven ability to act with integrity, discretion, and composure in all circumstances, including sensitive or confidential matters.
\n\n
\nHighly detail-oriented and organized, with the ability to manage multiple concurrent assignments under tight deadlines.
\n\n
\nFlexible and adaptable; thrives in ambiguous, fast-moving environments.
\n\n
\nTeam-oriented mindset, able to collaborate effectively with peers while working independently.
\n\n
\nProficient in Google Suite, Microsoft Office, and Asana, with hands-on experience using AI tools (including Claude), travel and expense platforms, and virtual collaboration tools; quick to adopt new systems and workflows.
\n\n
\nExperience with dual or multi-executive support is a strong plus.
\n\n\n
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
About the Role:
\n
We are seeking a highly skilled and resourceful Executive Assistant to provide dual support to the VP of Communications and the Director, Head of People. This role requires a proactive individual with exceptional judgment, strong discretion, and the ability to manage complex, cross-functional priorities across two distinct leadership functions. The ideal candidate is a trusted partner who operates with autonomy, anticipates needs before they arise, and ensures seamless execution for both executives.
\n
The pay range for this position at commencement of employment is expected to be between $122,100 and $152,600/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
\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.
","categories":{"commitment":"Full-time","department":"Operations","location":"Cambridge, MA","team":"Operations","allLocations":["Cambridge, MA"]},"createdAt":1787607978883,"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\nAbout this Role:\nWe are seeking a highly skilled and resourceful Executive Assistant/Office Manager to provide dual support to the VP of Accelerated Science/CAM Robotics and the VP of Finance. This role requires a proactive individual with exceptional judgment, strong discretion, and the ability to manage complex, cross-functional priorities across two distinct leadership functions. This role blends executive-level administrative support with day-to-day office operations, requiring someone who can shift fluidly between strategic coordination and hands-on execution. The ideal candidate brings strong judgment, a high degree of discretion, and a proactive approach to keeping both the executive and the office running smoothly.\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
About this Role:
\n
We are seeking a highly skilled and resourceful Executive Assistant/Office Manager to provide dual support to the VP of Accelerated Science/CAM Robotics and the VP of Finance. This role requires a proactive individual with exceptional judgment, strong discretion, and the ability to manage complex, cross-functional priorities across two distinct leadership functions. This role blends executive-level administrative support with day-to-day office operations, requiring someone who can shift fluidly between strategic coordination and hands-on execution. The ideal candidate brings strong judgment, a high degree of discretion, and a proactive approach to keeping both the executive and the office running smoothly.
\n
\n
Executive Administration:
\n\n
\nManage the executive's calendar, correspondence, and meeting cadences with a strong understanding of team priorities and business rhythms.
\n\n
\nHandle sensitive information with a high degree of confidentiality and discretion at all times.
\n\n
\nAnticipate needs and proactively coordinate resources to support executives before requests become urgent.
\n\n
\nPlan and coordinate international and domestic travel, including detailed itinerary and logistics management.
\n\n
\nPrepare and manage expense reports, purchase orders, and financial documentation accurately and promptly.
\n\n
\nPartner with the broader EA team to support cross-functional scheduling, staff meetings, and action item tracking.
\n\n
\nHandle incoming correspondence and requests, triaging and following through independently as appropriate.
\n\n
\nMaintain filing systems, document retention, and administrative processes consistently and with care.
\n\n
\nManage schedules and communications across US time zones, with flexibility to accommodate international time zones, including Japan and other locations, as business needs and executive travel require.
\n\n
\nProvide coverage for EA team members on vacation to ensure continuity of support.
\n\n\n
Office Management:
\n\n
\nOversee day-to-day office operations, including vendor relationships, facilities coordination, supply management, and space planning.
\n\n
\nServe as on-site point of contact for visiting stakeholders, candidates, and new team members.
\n\n
\nSupport onboarding, high-visibility events, and stakeholder engagements with professionalism and attention to detail.
\n\n
\nLead initiatives and special projects that strengthen engagement and community within the office.
\n\n
\nChampion TRI’s culture by encouraging participation in events, ERGs, and off-sites.
\n\n
\nCoordinate catering and onsite experiences with a high standard of quality and attention to detail.
\n\n
\nProvide responsive support for ad hoc team needs, including meeting setup and event logistics.
\n\n\n
\n\n
\n6+ years of executive administrative experience with meaningful exposure to office management, facilities, and vendor oversight.
\n\n
\nA bachelor's degree is preferred; candidates without a degree who bring 9-13 years of equivalent experience are encouraged to apply.
\n\n
\nStrong judgment and decision-making, with the ability to balance strategic perspective and tactical execution.
\n\n
\nProven ability to manage complex, competing priorities with sound judgment and a high sense of urgency.
\n\n
\nDemonstrated experience handling correspondence and communications with autonomy, professionalism, and discretion.
\n\n
\nExceptional written and verbal communication skills; able to represent senior leaders credibly in all interactions.
\n\n
\nHighly organized and detail-oriented, with the ability to manage multiple concurrent workstreams under tight deadlines.
\n\n
\nComfortable operating in fast-moving, ambiguous environments; adapts quickly without losing rigor.
\n\n
\nCollaborative team player who can also work independently with minimal direction.
\n\n
\nProficienct in Google Suite, Microsoft Office, and Asana, with hands-on experience using AI tools (including Claude), travel and expense platforms, and virtual collaboration tools; quick to adopt new systems and workflows.
\n\n
\nExperience with dual or multi-executive support is a strong plus.
\n\n
\nMust be able to lift items up to 35 pounds.
\n\n\n
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
About this Role:
\n
We are seeking a highly skilled and resourceful Executive Assistant/Office Manager to provide dual support to the VP of Accelerated Science/CAM Robotics and the VP of Finance. This role requires a proactive individual with exceptional judgment, strong discretion, and the ability to manage complex, cross-functional priorities across two distinct leadership functions. This role blends executive-level administrative support with day-to-day office operations, requiring someone who can shift fluidly between strategic coordination and hands-on execution. The ideal candidate brings strong judgment, a high degree of discretion, and a proactive approach to keeping both the executive and the office running smoothly.
\n
The pay range for this position at commencement of employment is expected to be between $150,000 and $170,000/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
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
\n
Founded in 2017, Toyota Ventures is a San Francisco Bay Area-based venture capital firm with approximately $800M+ AUM that invests in early-stage startups around the world in frontier and climate technologies. 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 Artificial Agency, Apex Space, Bipi (acquired), Blackmore (acquired), AM Batteries, CO280, Efficient Computer, Joby Aviation (NYSE: Joby), May Mobility, Walden Robotics, and Stoke Space.
\n
Our firm is growing, and we are looking for an experienced fund accounting manager to join us on this journey. The role will report to the controller and will be responsible for ensuring accurate financing reporting, compliance with accounting stands, and the smooth operation of fund accounting processes.
\n
This is a critical, execution-focused role and hands-on role for a practitioner who prefers to be deeply involved in the operational and financial accounting aspects of the fund management. It requires strong technical accounting skills, an understanding of VC fund structures, and the ability to work closely with senior leadership, investors, and portfolio companies.
\n
The ideal candidate has a strong understanding of GAAP accounting and a passion for working in a dynamic and fast-paced environment. We are a growing team that embraces a culture of acting with integrity, clear communication, and bold thinking. If you are looking for a challenging but fun opportunity, come join us. The firm is based in the SF Bay Area, but remote work is possible.
\n
\n\n
\nFund Operations and Cash Management: Execute end-to-end capital calls and distributions (including calculations, notices, and data verification. Prepare fund-of-fund (FoF) wires, assist with portfolio investment wires, and process invoices as needed.
\n\n
\nMonth-End close: Reconcile bank accounts, prepare FoF monthly/quarterly closing entries, and other journal entries as needed.
\n\n
\nPortfolio and Investment Accounting: Reconcile portfolio company financial data against internal/external cap tables, valuation records, and the general ledger. Maintain complete and accurate Statement of Investments, including cost, ownership, investment activity, realized and unrealized gains and losses, and other relevant investment data. .
\n\n
\nSystems & Data Integrity: Maintain fund accounting software and related systems to ensure the completeness, accuracy, and consistency of fund and portfolio data across internal systems.
\n\n
\nFinancial Modeling: Build, maintain, and audit complex American and European waterfall models used for fund distributions, carried interest calculations, and hurdle rates.
\n\n
\nTax: Manage data rooms, coordinate with external tax preparers and prepare the necessary documentation. Review tax returns for completeness and reasonableness and respond to inquiries of the tax preparer and other stakeholders.
\n\n
\nReporting: Prepare reporting files for the Limited Partners and parent company entities.
\n\n
\nInvestor Relations: Prepare responses to inquiries from Limited Partners as needed, including drafting technical responses to complex questions regarding fund statements, contributions, distributions and tax documentation (K-1s).
\n\n\n
\n\n
\nExperience: 7+ years of professional accounting experience, ideally with 4 years or more of direct experience in fund accounting at a VC firm, private equity manager, or alternative investment firm.
\n\n
\nTechnical Proficiency: Advanced expertise in Google Workspace and Excel is required, including the ability to build, debug, and audit complex financial models. Proficiency with industry-standard fund accounting platforms (e.g., Carta, Investran, eFront, or similar) is preferred.
\n\n
\nEducation: Bachelor’s degree in finance, accounting, or a related field. A CPA is highly desirable.
\n\n
\nOperational Precision: Proven track record of executing complex administrative and financial workflows with a high degree of comfort and competence in managing the granular details of fund operations.
\n\n
\nCommunication Skills: Ability to explain complex tax, financial, and legal concepts effectively to diverse stakeholders.
\n\n
\nProfessional Presence: High degree of integrity and discretion, with the ability to manage multiple priorities effectively within a fast-paced investment environment. Strong individual contributor, as well as a team player
\n\n\n
\n
Founded in 2017, Toyota Ventures is a San Francisco Bay Area-based venture capital firm with approximately $800M+ AUM that invests in early-stage startups around the world in frontier and climate technologies. 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 Artificial Agency, Apex Space, Bipi (acquired), Blackmore (acquired), AM Batteries, CO280, Efficient Computer, Joby Aviation (NYSE: Joby), May Mobility, Walden Robotics, and Stoke Space.
\n
Our firm is growing, and we are looking for an experienced fund accounting manager to join us on this journey. The role will report to the controller and will be responsible for ensuring accurate financing reporting, compliance with accounting stands, and the smooth operation of fund accounting processes.
\n
This is a critical, execution-focused role and hands-on role for a practitioner who prefers to be deeply involved in the operational and financial accounting aspects of the fund management. It requires strong technical accounting skills, an understanding of VC fund structures, and the ability to work closely with senior leadership, investors, and portfolio companies.
\n
The ideal candidate has a strong understanding of GAAP accounting and a passion for working in a dynamic and fast-paced environment. We are a growing team that embraces a culture of acting with integrity, clear communication, and bold thinking. If you are looking for a challenging but fun opportunity, come join us. The firm is based in the SF Bay Area, but remote work is possible.
\n
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
\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.
","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.
\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!
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.
","id":"63d61db3-ac43-4c0d-8b9b-5006e3b92149","lists":[{"text":"Responsibilities","content":"\nConduct original research in one or more areas: world modeling, multi-agent interaction, reinforcement learning, perception, or simulation-to-reality transfer.\nCollaborate closely with full-time researchers on the design, training, and evaluation of learning-based driving systems.\nContribute to building and experimenting with task-aware, multi-modal, and uncertainty-aware models.\nDevelop and evaluate prototypes in closed-loop simulation environments and, time permitting, on high-performance autonomous driving hardware.\nPresent research findings through internal talks and work towards a top-tier academic publication.\nIntegrate and work with large-scale datasets (open-source and internal).\n"},{"text":"Qualifications","content":"\nCurrently enrolled in a Ph.D. program in Computer Science, Robotics, Machine Learning, or a related field.\nStrong background in machine learning, particularly in areas such as deep learning, generative models, reinforcement learning, or probabilistic modeling.\nDemonstrated 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.\nPrior publication(s) in top-tier conferences (NeurIPS, ICLR, ICML, CVPR, ICRA, CoRL, etc.)\nProficiency with Python and PyTorch.\nFamiliarity 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.
\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!
","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
\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.
","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":"Please add a link to Google Scholar and include a full list of publications when submitting your CV to this position.\n \nThe pay range for this position at commencement of employment is expected to be between $45 and $65/hour 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 vacation and sick time. Details of participation in 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\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 add a link to Google Scholar and include a full list of publications when submitting your CV to this position.
\n
\nThe pay range for this position at commencement of employment is expected to be between $45 and $65/hour 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 vacation and sick time. Details of participation in 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.
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.
","categories":{"commitment":"Intern","department":"Human-Centered AI","location":"Los Altos, CA","team":"Internships - Winter 2027","allLocations":["Los Altos, CA"]},"createdAt":1789595755272,"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\nAt 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 in Human-Centered AI, Large Behavior Models, Robotics, Automated Driving, Energy & Materials and Human Interactive Driving.\nThe Team\n\nThis internship opportunity falls within the Adaptive Behavior Systems team of Human-Centered AI Division (HCAI). We are an integrated team of ML researchers and social and behavior scientists. At the core of our work, we aim to enable decisions through human-centered AI that advance collective well-being for people and the planet. \nThe Internship\n\nWe are seeking a highly motivated and talented PhD research intern to join our adaptive behavior systems team to push the boundaries of causal reasoning in LLMs. The intern will collaborate with our interdisciplinary team of machine learning, behavioral, and social scientists to study how well language-based generative machine learning models can reason causally and to develop methods for testing and improving causal reasoning. The project will be focused on researching in a specific sub-area of the overall goal, towards publication in a top-tier venue. The intern will further engage in strategy discussions about how the research connects to business impact at Toyota.\n\nThis is a Winter 2027 paid 12-week internship opportunity. Please note that this internship will be a hybrid in-office role.\n\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.
\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!
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 in Human-Centered AI, Large Behavior Models, Robotics, Automated Driving, Energy & Materials and Human Interactive Driving.
\nThe Team
\n
This internship opportunity falls within the Adaptive Behavior Systems team of Human-Centered AI Division (HCAI). We are an integrated team of ML researchers and social and behavior scientists. At the core of our work, we aim to enable decisions through human-centered AI that advance collective well-being for people and the planet.
\nThe Internship
\n
We are seeking a highly motivated and talented PhD research intern to join our adaptive behavior systems team to push the boundaries of causal reasoning in LLMs. The intern will collaborate with our interdisciplinary team of machine learning, behavioral, and social scientists to study how well language-based generative machine learning models can reason causally and to develop methods for testing and improving causal reasoning. The project will be focused on researching in a specific sub-area of the overall goal, towards publication in a top-tier venue. The intern will further engage in strategy discussions about how the research connects to business impact at Toyota.
\n
This is a Winter 2027 paid 12-week internship opportunity. Please note that this internship will be a hybrid in-office role.
","id":"6433edb6-76be-409f-9a73-9b9d9c207f9f","lists":[{"text":"Responsibilities","content":"\n\n
Perform research and publish in a relevant venue. Publication target venues include NeurIPS, ICML, ICLR, CLeaR, UAI, and COLM, with ACL or EMNLP where the contribution is primarily linguistic, and TMLR as a journal option. Findings may also be presented at ACIC or EuroCIM. The exact topic is to be finalized with the mentor.\nTake ownership of the project from project inception and ideation to validation of the developed methods.\nCollaborate cross-functionally with researchers in multiple fields to research and develop technology that leverages generative AI to understand human behavior.\n\n"},{"text":"Qualifications","content":"\n\n
Ph.D. student in related fields - AI/ML, computer science, data science, statistics, or related field.\nPublication record or demonstrated research experience in causal inference (structural causal models, identification, counterfactual reasoning).\nHands-on experience with one or more of: LLM evaluation and benchmarking; mechanistic interpretability; and methods for improving LLM reasoning, including prompting and prompt optimization, post-training (supervised fine-tuning or reinforcement learning with verifiable rewards), pretraining, or architectural changes.\nExperience with Python programming and DL frameworks like Pytorch.\nInterest in human-centered research (e.g. behavioral science, computational social science), including qualitative and/or quantitative methods such as experiments and user studies.\nExcellent communication and teamwork skills.\n\n"}],"text":"Human-Centered AI Research Intern, Causal Reasoning 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.
\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!
","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":"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 in Human-Centered AI, Large Behavior Models, Robotics, Automated Driving, Energy & Materials and Human Interactive Driving.
\nThe Team
\n
This internship opportunity falls within the Adaptive Behavior Systems team of Human-Centered AI Division (HCAI). We are an integrated team of ML researchers and social and behavior scientists. At the core of our work, we aim to enable decisions through human-centered AI that advance collective well-being for people and the planet.
\nThe Internship
\n
We are seeking a highly motivated and talented PhD research intern to join our adaptive behavior systems team to push the boundaries of causal reasoning in LLMs. The intern will collaborate with our interdisciplinary team of machine learning, behavioral, and social scientists to study how well language-based generative machine learning models can reason causally and to develop methods for testing and improving causal reasoning. The project will be focused on researching in a specific sub-area of the overall goal, towards publication in a top-tier venue. The intern will further engage in strategy discussions about how the research connects to business impact at Toyota.
\n
This is a Winter 2027 paid 12-week internship opportunity. Please note that this internship will be a hybrid in-office role.
","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 in Human-Centered AI, Large Behavior Models, Robotics, Automated Driving, Energy & Materials and Human Interactive Driving.\nThe Team\n\nThis internship opportunity falls within the Adaptive Behavior Systems team of Human-Centered AI Division (HCAI). We are an integrated team of ML researchers and social and behavior scientists. At the core of our work, we aim to enable decisions through human-centered AI that advance collective well-being for people and the planet. \nThe Internship\n\nWe are seeking a highly motivated and talented PhD research intern to join our adaptive behavior systems team to push the boundaries of causal reasoning in LLMs. The intern will collaborate with our interdisciplinary team of machine learning, behavioral, and social scientists to study how well language-based generative machine learning models can reason causally and to develop methods for testing and improving causal reasoning. The project will be focused on researching in a specific sub-area of the overall goal, towards publication in a top-tier venue. The intern will further engage in strategy discussions about how the research connects to business impact at Toyota.\n\nThis is a Winter 2027 paid 12-week internship opportunity. Please note that this internship will be a hybrid in-office role.\n\n","hostedUrl":"https://jobs.lever.co/tri/6433edb6-76be-409f-9a73-9b9d9c207f9f","applyUrl":"https://jobs.lever.co/tri/6433edb6-76be-409f-9a73-9b9d9c207f9f/apply"},{"additionalPlain":"The pay range for this position at commencement of employment is expected to be between $136,800and $196,650/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 $136,800and $196,650/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
\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.
","categories":{"commitment":"Research Fellow","department":"Human Interactive Driving","location":"Cambridge, MA","team":"Human Aware Learning","allLocations":["Cambridge, MA"]},"createdAt":1789686847252,"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 Opportunity\nOur team at Toyota Research Institute is looking for a motivated and capable postdoc to conduct research on the computational and machine learning aspects of human-robot interaction. Areas of interest include applying foundation models to human-robot interaction, with an emphasis on understanding human-robot collaboration and how it evolves as foundation models become increasingly central to robotic manipulation. \nWe’re looking for a postdoc with a solution driven attitude who can partner closely with our research team and turn ideas into impactful results. Relevant background topics include robot foundation models (e.g., VLAs, WAMs), imitation/reinforcement learning, leveraging language conditioning in trajectory planning/prediction, and decision-making under uncertainty, as well as human-machine teaming/shared control. \nThe Challenge\nIn this project, we’re exploring novel approaches to efficiently learn how humans and robots collaborate. Our overall goal is to create AI approaches that challenge more traditional approaches to novel interactions with a human collaborator and enable the development of new embodied interactive policies. \nThe project will be focused on researching a new approach in a specific sub-area of the overall goal, towards publications in top-tier conferences, well-matched for a postdoc that is looking for an additional year of research before beginning a faculty position, or a more experienced existing faculty member looking to take a year-long sabbatical with us. The fellowship will be in our Cambridge, MA research center, where you will be working with researchers on meaningful research problems, with access to the resources needed to pursue ambitious projects and publications. Applicants with relevant publications in these fields 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
The Opportunity
\n
Our team at Toyota Research Institute is looking for a motivated and capable postdoc to conduct research on the computational and machine learning aspects of human-robot interaction. Areas of interest include applying foundation models to human-robot interaction, with an emphasis on understanding human-robot collaboration and how it evolves as foundation models become increasingly central to robotic manipulation.
\n
We’re looking for a postdoc with a solution driven attitude who can partner closely with our research team and turn ideas into impactful results. Relevant background topics include robot foundation models (e.g., VLAs, WAMs), imitation/reinforcement learning, leveraging language conditioning in trajectory planning/prediction, and decision-making under uncertainty, as well as human-machine teaming/shared control.
\n
The Challenge
\n
In this project, we’re exploring novel approaches to efficiently learn how humans and robots collaborate. Our overall goal is to create AI approaches that challenge more traditional approaches to novel interactions with a human collaborator and enable the development of new embodied interactive policies.
\n
The project will be focused on researching a new approach in a specific sub-area of the overall goal, towards publications in top-tier conferences, well-matched for a postdoc that is looking for an additional year of research before beginning a faculty position, or a more experienced existing faculty member looking to take a year-long sabbatical with us. The fellowship will be in our Cambridge, MA research center, where you will be working with researchers on meaningful research problems, with access to the resources needed to pursue ambitious projects and publications. Applicants with relevant publications in these fields are highly encouraged to apply.
\n
\n
\n- Perform research and publish on relevant topics in appropriate venues. Depending on the exact project outcome, publication target venues include, e.g., ICRA, CVPR, NeurIPS, and HRI. Publication emphasis is on how novel representations allow robots to learn to interact with humans towards long-term shared autonomy in a data-efficient, robust, and explainable way, with results in our teams’ problems and domain of interest.
\n- Exploration of both computational and cognitive phenomena, working with a team of researchers to create new approaches for understanding, predicting, and interacting with humans.
\n- Work from approach inception and ideation to validation of the developed approaches.
\n\n
\n
\n- \n
Ph.D in related fields (by end date) - ML/AI, robotics, human-centric AI, or computer vision. Some experience with robot systems is needed.
\n \n- \n
Strong publications record in top ML/robotics venues. Specific areas: robot foundation models and their use for human interaction, ML and synthetic data for human-collaborative embodied reasoning, imitation/reinforcement learning, and learning-based shared control and planning for human interactions.
\n \n- \n
Coding: Python, experience working in a team on joint scientific projects. Experience training deep learning models in e.g., Pytorch/TensorFlow.
\n \n- \n
An ideal candidate can refine a topic and execute a scientific research plan in collaboration with other researchers.
\n \n\n
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 Opportunity
\n
Our team at Toyota Research Institute is looking for a motivated and capable postdoc to conduct research on the computational and machine learning aspects of human-robot interaction. Areas of interest include applying foundation models to human-robot interaction, with an emphasis on understanding human-robot collaboration and how it evolves as foundation models become increasingly central to robotic manipulation.
\n
We’re looking for a postdoc with a solution driven attitude who can partner closely with our research team and turn ideas into impactful results. Relevant background topics include robot foundation models (e.g., VLAs, WAMs), imitation/reinforcement learning, leveraging language conditioning in trajectory planning/prediction, and decision-making under uncertainty, as well as human-machine teaming/shared control.
\n
The Challenge
\n
In this project, we’re exploring novel approaches to efficiently learn how humans and robots collaborate. Our overall goal is to create AI approaches that challenge more traditional approaches to novel interactions with a human collaborator and enable the development of new embodied interactive policies.
\n
The project will be focused on researching a new approach in a specific sub-area of the overall goal, towards publications in top-tier conferences, well-matched for a postdoc that is looking for an additional year of research before beginning a faculty position, or a more experienced existing faculty member looking to take a year-long sabbatical with us. The fellowship will be in our Cambridge, MA research center, where you will be working with researchers on meaningful research problems, with access to the resources needed to pursue ambitious projects and publications. Applicants with relevant publications in these fields are highly encouraged to apply.
\n
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.
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
\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.
","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
\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.
","id":"5b1a4365-272b-4541-8f7d-46f0bf0d3e4f","lists":[{"text":"Responsibilities ","content":"\nDesign and implement scalable, production-grade pipelines for data ingestion, transformation, storage, and retrieval from vehicle fleets and simulation environments.\nBuild internal tools and services for data labeling, curation, indexing, and cataloging across large and diverse datasets.\nCollaborate with ML researchers, autonomy engineers, and data scientists to design schemas and APIs that power model training, evaluation, and debugging.\nDevelop and maintain feature stores, metadata systems, and versioning infrastructure for structured and unstructured data.\nSupport the generation and integration of synthetic datasets with real-world logs to enable hybrid training and simulation workflows.\nOptimize pipelines for cost, latency, and traceability, ensuring reproducibility and consistency across environments.\nPartner with simulation and cloud platform teams to automate workflows for closed-loop testing, scenario mining, and performance analytics.\n"},{"text":"Qualifications","content":"\nBachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.\n8+ years of experience building data-intensive software systems, ideally in robotics, autonomous driving, or large-scale ML environments.\nProficient in Python, SQL, and familiar with C++.\nExperience designing ETL pipelines using modern frameworks (e.g., Apache Spark, Flyte, Union).\nStrong knowledge of cloud-native architectures, including AWS services (e.g., S3, or equivalents (Google Cloud platform)\nFamiliarity with sensor data types (camera, lidar, radar, GPS/IMU) and common data serialization formats (e.g., protobuf. ROS2bag, MCAP).\nDeep understanding of data quality, observability, and lineage in high-volume systems.\nTrack record of building reliable and performant infrastructure that supports both ad-hoc exploration and repeatable production workflows.\n"},{"text":"Bonus Qualifications","content":"\nExperience in AD/ADAS, robotics, or autonomous systems — especially handling perception or planning datasets.\nFamiliarity with ML pipeline orchestration frameworks (e.g. Kubeflow, SageMaker, etc).\nExperience working with temporal or spatial data, including geospatial indexing and time-series alignment.\nExposure to synthetic data generation, simulation logging, or scenario replay pipelines.\nStrong software engineering fundamentals, CI/CD, testing, code review, and service deployment best practices.\nExperience collaborating with cross-functional, distributed teams across research and production orgs.\n"}],"text":"Senior Data Engineer, Large Behavior 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":"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.
","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":"Please add a link to Google Scholar and 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 $200,000 and $287,500/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 and 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 $200,000 and $287,500/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
\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.
","categories":{"commitment":"Full-time","department":"Automated Driving Advanced Development","location":"Los Altos, CA","team":"Automated Driving Advanced Development","allLocations":["Los Altos, CA"]},"createdAt":1743021267129,"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 Advance Development division at TRI focuses 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. The Automated Driving Advance Development team is leading a new cross-organizational project between TRI and Woven by Toyota to research and develop a fully end-to-end learned automated driving / ADAS stack. This cross-org collaborative project is synergistic with TRI’s robotics divisions' efforts in Diffusion Policy and Large Behavior Models (LBM).\n \nThe Opportunity\n \nWe are looking for a Senior Machine Learning Researcher to join us in developing a state-of-the-art, pixels-to-action, end-to-end system for automated driving. As an expert in machine learning, you will contribute to designing and developing innovative models for our autonomy stack and deploying them on vehicle platforms to solve daily driving tasks and handle long-tail scenarios.\n \nAn ideal candidate has a strong track record of leading independent research efforts, preferably including mentoring and collaborating with less experienced students and researchers. You will help to drive our exploration into end-to-end learning approaches for automated driving, using large-scale sensor data directly for perception, planning, and prediction to overcome traditional \"information bottlenecks.\" This includes expanding our successful Large Behavior Model (LBM) robotics efforts and Diffusion Policy (DP) research into the driving domain, designing scalable architectures, and integrating visual-language-action modalities. Beyond refining models for closed-loop driving on public roads and in simulation, you will also explore data quality filtering, transfer learning from diverse data sources, and edge deployment optimization. This work is part of Toyota’s global AI efforts to build a more coordinated global approach across Toyota entities.\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
\nThe Automated Driving Advance Development division at TRI focuses 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. The Automated Driving Advance Development team is leading a new cross-organizational project between TRI and Woven by Toyota to research and develop a fully end-to-end learned automated driving / ADAS stack. This cross-org collaborative project is synergistic with TRI’s robotics divisions' efforts in Diffusion Policy and Large Behavior Models (LBM).
\n
\nThe Opportunity
\n
\nWe are looking for a Senior Machine Learning Researcher to join us in developing a state-of-the-art, pixels-to-action, end-to-end system for automated driving. As an expert in machine learning, you will contribute to designing and developing innovative models for our autonomy stack and deploying them on vehicle platforms to solve daily driving tasks and handle long-tail scenarios.
\n
\nAn ideal candidate has a strong track record of leading independent research efforts, preferably including mentoring and collaborating with less experienced students and researchers. You will help to drive our exploration into end-to-end learning approaches for automated driving, using large-scale sensor data directly for perception, planning, and prediction to overcome traditional \"information bottlenecks.\" This includes expanding our successful Large Behavior Model (LBM) robotics efforts and Diffusion Policy (DP) research into the driving domain, designing scalable architectures, and integrating visual-language-action modalities. Beyond refining models for closed-loop driving on public roads and in simulation, you will also explore data quality filtering, transfer learning from diverse data sources, and edge deployment optimization. This work is part of Toyota’s global AI efforts to build a more coordinated global approach across Toyota entities.
","id":"68c7cb5b-c6ce-4cc0-b43b-b262253b0915","lists":[{"text":"Responsibilities","content":"\nConduct ambitious research to advance the state-of-the-art in using new capabilities in generative AI (e.g., recent results in diffusion policy [1],[2]) for end-to-end perception, planning, and prediction in automated driving with a focus on computer vision as the primary sensing modality.\nResearch and implement scalable end-to-end architectures that process raw sensor data to generate vehicle trajectories, addressing the challenges of long-tail driving scenarios with low data coverage.\nPrototype, validate, and iterate model architectures using imitation learning and large-scale data, ensuring robust performance across diverse scenarios.\nPerform closed-loop evaluations in sensor simulations and real-world testing environments to rigorously assess model performance, stability, and scalability.\nExplore multi-modal and language-conditioned models to broaden the applicability of end-to-end policies, using external data sources and transfer learning to enhance generalization.\nCollaborate with researchers and engineers across TRI, Woven by Toyota, and Toyota’s global ecosystem to accelerate model deployment and evaluation in both controlled environments (closed-course) and public road driving.\nTake the lead on writing and publishing research results in peer-reviewed venues.\n"},{"text":"Qualifications ","content":"\nA PhD or equivalent experience in a robotics-relevant or embodied-AI field such as Computer Science, Mathematics, Physics, or Engineering.\nA consistent track record of publishing at high-impact conferences/journals (CVPR, ICLR, NeurIPS, ICML, CoRL, RSS, ICRA, ICCV, ECCV, PAMI, IJCV, etc.)\nA consistent track record of independent research.\nDemonstrated ability to independently formulate and complete a research agenda while collaborating across subject areas.\nExperience training large-scale models, including foundation models (e.g., vision-language models, text-to-video models).\nProficiency in Python and C++ for implementing and evaluating research ideas.\n"},{"text":"Bonus Qualifications","content":"\nExperience with robot motion planning techniques like trajectory optimization, sampling-based planning, and model predictive control, or experience with automated driving domains (e.g., perception, prediction, mapping, localization, planning, simulation).\nExperience in developing production-level code for real-time operating systems.\nExperience optimizing runtime-critical systems for Linux, UNIX-like real-time operating systems on automotive-grade compute platforms, and building safety-critical software architectures.\n"}],"text":"Senior Machine Learning Researcher, Large Behavior Models & Diffusion Policy","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
\nThe Automated Driving Advance Development division at TRI focuses 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. The Automated Driving Advance Development team is leading a new cross-organizational project between TRI and Woven by Toyota to research and develop a fully end-to-end learned automated driving / ADAS stack. This cross-org collaborative project is synergistic with TRI’s robotics divisions' efforts in Diffusion Policy and Large Behavior Models (LBM).
\n
\nThe Opportunity
\n
\nWe are looking for a Senior Machine Learning Researcher to join us in developing a state-of-the-art, pixels-to-action, end-to-end system for automated driving. As an expert in machine learning, you will contribute to designing and developing innovative models for our autonomy stack and deploying them on vehicle platforms to solve daily driving tasks and handle long-tail scenarios.
\n
\nAn ideal candidate has a strong track record of leading independent research efforts, preferably including mentoring and collaborating with less experienced students and researchers. You will help to drive our exploration into end-to-end learning approaches for automated driving, using large-scale sensor data directly for perception, planning, and prediction to overcome traditional \"information bottlenecks.\" This includes expanding our successful Large Behavior Model (LBM) robotics efforts and Diffusion Policy (DP) research into the driving domain, designing scalable architectures, and integrating visual-language-action modalities. Beyond refining models for closed-loop driving on public roads and in simulation, you will also explore data quality filtering, transfer learning from diverse data sources, and edge deployment optimization. This work is part of Toyota’s global AI efforts to build a more coordinated global approach across Toyota entities.
","descriptionBodyPlain":"The Team\n \nThe Automated Driving Advance Development division at TRI focuses 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. The Automated Driving Advance Development team is leading a new cross-organizational project between TRI and Woven by Toyota to research and develop a fully end-to-end learned automated driving / ADAS stack. This cross-org collaborative project is synergistic with TRI’s robotics divisions' efforts in Diffusion Policy and Large Behavior Models (LBM).\n \nThe Opportunity\n \nWe are looking for a Senior Machine Learning Researcher to join us in developing a state-of-the-art, pixels-to-action, end-to-end system for automated driving. As an expert in machine learning, you will contribute to designing and developing innovative models for our autonomy stack and deploying them on vehicle platforms to solve daily driving tasks and handle long-tail scenarios.\n \nAn ideal candidate has a strong track record of leading independent research efforts, preferably including mentoring and collaborating with less experienced students and researchers. You will help to drive our exploration into end-to-end learning approaches for automated driving, using large-scale sensor data directly for perception, planning, and prediction to overcome traditional \"information bottlenecks.\" This includes expanding our successful Large Behavior Model (LBM) robotics efforts and Diffusion Policy (DP) research into the driving domain, designing scalable architectures, and integrating visual-language-action modalities. Beyond refining models for closed-loop driving on public roads and in simulation, you will also explore data quality filtering, transfer learning from diverse data sources, and edge deployment optimization. This work is part of Toyota’s global AI efforts to build a more coordinated global approach across Toyota entities.\n","hostedUrl":"https://jobs.lever.co/tri/68c7cb5b-c6ce-4cc0-b43b-b262253b0915","applyUrl":"https://jobs.lever.co/tri/68c7cb5b-c6ce-4cc0-b43b-b262253b0915/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":"\n
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
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
\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.
","categories":{"commitment":"Full-time","department":"Automated Driving Advanced Development","location":"Los Altos, CA","team":"Automated Driving Advanced Development","allLocations":["Los Altos, CA"]},"createdAt":1782855120010,"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 Learning From Videos (LFV) team develops world foundation models that leverage large-scale multi-modal data (RGB, depth, flow, semantics, actions, tactile, audio, etc.) from multiple domains to power downstream embodied AI tasks. Our topics of interest include Video Generation, World Models, 4D Reconstruction, Multi-Modal Models, Multi-View Geometry, Data Augmentation, and Video-Language-Action models, with a primary focus on embodied applications such as robotics and driving. We are making progress on some of the hardest scientific challenges around spatio-temporal reasoning, and how it can lead to the deployment of autonomous agents in real-world unstructured environments.\n \nOur team is looking for a Research Engineer to help develop and deploy our world foundation models (WFMs) toward their key milestones in the autonomous driving domain. As our WFMs scale in both capability and ambition, we need a strong engineer who can bridge the gap between research ideas and production-grade systems. This is not a traditional software engineering role; you will work directly alongside research scientists, understand the research deeply enough to make independent technical decisions, and play a key role in enabling the deployment of key research breakthroughs into close-to-production environments.\n \nAs a Research Engineer, you will be responsible for supporting and optimizing large-scale distributed training of diffusion and transformer models; maintaining the infrastructure that ingests, unifies, and serves heterogeneous multi-modal datasets at scale; and developing tools and pipelines that accelerate the research-to-results cycle. You will work closely with researchers to prototype new ideas, run experiments, and help ship our most successful models toward real-world applications with real-world impact.\nThis role requires close collaboration with multiple TRI divisions (Robotics, Automated Driving, Human-Interactive Driving, etc.) as well external Toyota and University partners, and the ability to reconcile and prioritize possibly competing requirements in a fast-paced combination of research and production environments.\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 Learning From Videos (LFV) team develops world foundation models that leverage large-scale multi-modal data (RGB, depth, flow, semantics, actions, tactile, audio, etc.) from multiple domains to power downstream embodied AI tasks. Our topics of interest include Video Generation, World Models, 4D Reconstruction, Multi-Modal Models, Multi-View Geometry, Data Augmentation, and Video-Language-Action models, with a primary focus on embodied applications such as robotics and driving. We are making progress on some of the hardest scientific challenges around spatio-temporal reasoning, and how it can lead to the deployment of autonomous agents in real-world unstructured environments.
\n
\n
Our team is looking for a Research Engineer to help develop and deploy our world foundation models (WFMs) toward their key milestones in the autonomous driving domain. As our WFMs scale in both capability and ambition, we need a strong engineer who can bridge the gap between research ideas and production-grade systems. This is not a traditional software engineering role; you will work directly alongside research scientists, understand the research deeply enough to make independent technical decisions, and play a key role in enabling the deployment of key research breakthroughs into close-to-production environments.
\n
\n
As a Research Engineer, you will be responsible for supporting and optimizing large-scale distributed training of diffusion and transformer models; maintaining the infrastructure that ingests, unifies, and serves heterogeneous multi-modal datasets at scale; and developing tools and pipelines that accelerate the research-to-results cycle. You will work closely with researchers to prototype new ideas, run experiments, and help ship our most successful models toward real-world applications with real-world impact.
\n
This role requires close collaboration with multiple TRI divisions (Robotics, Automated Driving, Human-Interactive Driving, etc.) as well external Toyota and University partners, and the ability to reconcile and prioritize possibly competing requirements in a fast-paced combination of research and production environments.
\n
\n\n
\nCollaborate directly with research scientists to implement, iterate on, and evaluate new architectures, objectives, datasets, and training strategies. Translate research prototypes into clean, maintainable, reusable code that will be shared across multiple TRI teams and the broader Toyota ecosystem.
\n\n
\nBuild and maintain scalable pipelines for ingesting, converting, validating, and serving heterogeneous datasets (multi-view, multi-modal, multi-embodiment, etc.), across robotics and autonomous driving, into unified training-ready formats. Track and integrate new public and internal datasets as they become available.
\n\n
\nSupport and optimize large-scale distributed training of world foundation models on multi-GPU and multi-node clusters. Manage experiment workflows, profiling, debugging, and hyperparameter sweeps to ensure optimal performance in a timely manner.
\n\n
\nDevelop tools for dataset inspection, experiment tracking, model evaluation, GPU resource management, and visualization. Automate repetitive workflows to improve team velocity.
\n\n
\nWork with other TRI teams and Toyota affiliates to set up shared pipelines, onboard their data, and support joint training and evaluation efforts.
\n\n
\nProduce maintainable, well-documented code. Contribute to internal tooling and open-source releases to the scientific community.
\n\n\n
\n\n
\nMaster’s or PhD in Computer Science, Electrical Engineering, Machine Learning, or a related field, with a minimum of 3 years of relevant experience and strong software engineering skills.
\n\n
\nDeep proficiency in Python, PyTorch, and the Unix/Linux toolchain. Comfort working in terminal-heavy, SSH-based workflows on shared GPU clusters.
\n\n
\nHands-on experience with large-scale deep learning training, including distributed training (DDP, FSDP, DeepSpeed, or similar), GPU profiling, and debugging training failures at scale.
\n\n
\nExperience building data pipelines for heterogeneous or multi-modal datasets (images, video, depth, point clouds, actions, etc).
\n\n
\nExperience with video diffusion models, 3D/4D reconstruction, and multi-view geometry.
\n\n
\nYou are proactive, self-directed, and comfortable operating with ambiguity in a research-driven environment that spans multiple divisions.
\n\n
\nYou are a reliable teammate who communicates clearly and takes ownership of problems end-to-end.
\n\n\n
\n\n
Experience with cloud training infrastructure (AWS SageMaker, EC2) and containerized workflows (Docker, Kubernetes).\n
\nFamiliarity with standard data formats and collection pipelines (ROS, MCAP, HDF5, etc.) as well as simulation environments.
\n\n
\nProficiency with modern AI-assisted development tools (e.g., Copilot, Cursor, Claude Code) for accelerating engineering workflows.
\n\n
\nTrack record of contributions to open-source projects or publications at top venues (CVPR, ICLR, NeurIPS, RSS, ICRA, etc.) is a plus but not required.
\n\n\n
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 Learning From Videos (LFV) team develops world foundation models that leverage large-scale multi-modal data (RGB, depth, flow, semantics, actions, tactile, audio, etc.) from multiple domains to power downstream embodied AI tasks. Our topics of interest include Video Generation, World Models, 4D Reconstruction, Multi-Modal Models, Multi-View Geometry, Data Augmentation, and Video-Language-Action models, with a primary focus on embodied applications such as robotics and driving. We are making progress on some of the hardest scientific challenges around spatio-temporal reasoning, and how it can lead to the deployment of autonomous agents in real-world unstructured environments.
\n
\n
Our team is looking for a Research Engineer to help develop and deploy our world foundation models (WFMs) toward their key milestones in the autonomous driving domain. As our WFMs scale in both capability and ambition, we need a strong engineer who can bridge the gap between research ideas and production-grade systems. This is not a traditional software engineering role; you will work directly alongside research scientists, understand the research deeply enough to make independent technical decisions, and play a key role in enabling the deployment of key research breakthroughs into close-to-production environments.
\n
\n
As a Research Engineer, you will be responsible for supporting and optimizing large-scale distributed training of diffusion and transformer models; maintaining the infrastructure that ingests, unifies, and serves heterogeneous multi-modal datasets at scale; and developing tools and pipelines that accelerate the research-to-results cycle. You will work closely with researchers to prototype new ideas, run experiments, and help ship our most successful models toward real-world applications with real-world impact.
\n
This role requires close collaboration with multiple TRI divisions (Robotics, Automated Driving, Human-Interactive Driving, etc.) as well external Toyota and University partners, and the ability to reconcile and prioritize possibly competing requirements in a fast-paced combination of research and production environments.
\n
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.
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\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.
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\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.
","categories":{"commitment":"Full-time","department":"Automated Driving Advanced Development","location":"Los Altos, CA","team":"Automated Driving Advanced Development","allLocations":["Los Altos, CA"]},"createdAt":1754432912245,"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 seeking a Senior Simulation Engineer to lead the development of sensor and system-level simulation workflows that support both closed-loop validation and synthetic data generation for training. In this role, you'll help build the simulated environments, data pipelines, and interfaces required to evaluate and improve our full-stack driving policy under diverse, realistic conditions. \n \n \nThis role is not limited to simulation infrastructure or tooling. Instead, you will focus on functional validation of learned behaviors, scalable synthetic data generation, and the seamless integration of state-of-the-art simulation technologies to support both training and evaluation workflows. You will also play a key role in driving cross-functional alignment between autonomy, platform, ML infrastructure, and integration teams. 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.\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
\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
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\nWe are seeking a Senior Simulation Engineer to lead the development of sensor and system-level simulation workflows that support both closed-loop validation and synthetic data generation for training. In this role, you'll help build the simulated environments, data pipelines, and interfaces required to evaluate and improve our full-stack driving policy under diverse, realistic conditions.
\n
\n
\nThis role is not limited to simulation infrastructure or tooling. Instead, you will focus on functional validation of learned behaviors, scalable synthetic data generation, and the seamless integration of state-of-the-art simulation technologies to support both training and evaluation workflows. You will also play a key role in driving cross-functional alignment between autonomy, platform, ML infrastructure, and integration teams. 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":"828811f8-410d-4945-9706-5dd0fad422dc","lists":[{"text":"Responsibilities","content":"\nBuild a visually realistic simulator to test full end-to-end autonomy stack behavior, from simulating sensors to motion planning, across a range of scenario conditions.\nPrototype and integrate with internal and third-party simulators to evaluate their ability to support learned system testing.\nCurate scenarios, system introspection.\nBuild data logging frameworks used during large-scale virtual tests.\nCollaborate closely with autonomy, ML, and integration teams to define simulation entry points, runtime configs, and closed-loop evaluation metrics.\nBuild diagnostic tooling and analysis pipelines to understand and improve real system behavior in simulation.\nLead cross-functional efforts to close the gap between simulation and on-vehicle deployment, increasing the reliability of sim-based validation.\nProvide technical mentorship and foster a collaborative, high-trust engineering culture across organizational boundaries.\nDemonstrate excellent design practices; generate technical documentation; lead technical presentations; aligning with stakeholders before, during, and after implementation is essential.\n"},{"text":"Qualifications","content":"\nBachelor’s or Master’s in Computer Science, Robotics, or a related field.\n10+ years of experience in robotics, autonomous systems, or simulation.\nExperience with 3D reconstruction (e.g. Gaussian Splatting, Neural radiance fields, etc).\nExperience with 3D generation.\nExperience with Unreal Engine.\nStrong programming skills in Python and C++, especially for robotics or systems development.\nExperience with simulation platforms (e.g., CARLA, Applied Intuition, Nvidia DriveSim, etc) and their integration into autonomous system workflows.\nKnowledge of sensor simulation principles and how perception systems interact with synthetic data.\nUnderstanding of end-to-end autonomy pipelines, from raw sensor input to trajectory outputs.\nDemonstrated ability to design for both users (e.g., autonomy developers) and simulation infrastructure stakeholders.\nPassion for using simulation to drive real-world progress and system understanding.\n"},{"text":"Bonus Qualifications","content":"\nHands-on experience validating machine learning-based autonomy stacks in closed-loop simulation.\nKnowledge of scenario generation, rare event simulation, or counterfactual testing.\nKnowledge of one or more cloud compute platforms, such as AWS.\nExperience with multi-agent simulation or high-fidelity 3D environments.\nPrior experience in fast-paced R&D environments bridging research and production.\n"}],"text":"Senior Simulation 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
\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 seeking a Senior Simulation Engineer to lead the development of sensor and system-level simulation workflows that support both closed-loop validation and synthetic data generation for training. In this role, you'll help build the simulated environments, data pipelines, and interfaces required to evaluate and improve our full-stack driving policy under diverse, realistic conditions.
\n
\n
\nThis role is not limited to simulation infrastructure or tooling. Instead, you will focus on functional validation of learned behaviors, scalable synthetic data generation, and the seamless integration of state-of-the-art simulation technologies to support both training and evaluation workflows. You will also play a key role in driving cross-functional alignment between autonomy, platform, ML infrastructure, and integration teams. 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 seeking a Senior Simulation Engineer to lead the development of sensor and system-level simulation workflows that support both closed-loop validation and synthetic data generation for training. In this role, you'll help build the simulated environments, data pipelines, and interfaces required to evaluate and improve our full-stack driving policy under diverse, realistic conditions. \n \n \nThis role is not limited to simulation infrastructure or tooling. Instead, you will focus on functional validation of learned behaviors, scalable synthetic data generation, and the seamless integration of state-of-the-art simulation technologies to support both training and evaluation workflows. You will also play a key role in driving cross-functional alignment between autonomy, platform, ML infrastructure, and integration teams. 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.\n","hostedUrl":"https://jobs.lever.co/tri/828811f8-410d-4945-9706-5dd0fad422dc","applyUrl":"https://jobs.lever.co/tri/828811f8-410d-4945-9706-5dd0fad422dc/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
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.
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\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.
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\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!
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\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.
","id":"42c0845c-218c-47f0-8546-ffb3903cf4e5","lists":[{"text":"Responsibilities","content":"\nNetwork and take part in industry and VC events, organizations\nHelp generate deal-flow and source high-potential target companies \nMeet with and evaluate companies to make recommendations on investing\nParticipate in due diligence, competitive analyses, and industry deep dives\nPrepare memos and present potential investments to the Investment Committee\nSupport deal negotiations and closings\nAnalyze latest industry trends and author market research briefings \nCollaborate with Toyota Ventures platform team to support portfolio companies \n"},{"text":"Qualifications","content":"\n2+ years of work experience in related role; previous experience in venture capital or an operational role in a technology company preferred \nBachelor's degree in business, computer science, engineering or relevant field\nHigh level of integrity and professionalism, with ability to maintain strict confidentiality\nAI, robotics, or semiconductor exposure\nEntrepreneurial-minded and well-networked\nExcellent communication and interpersonal skills\nStrong financial modeling and analysis skills \nExtensive experience working with Excel and Google Suite\nComfortable with ambiguity and risk\nAbility to work collaboratively with team members\nTrack record of successfully completing projects with minimal guidance\nPassion 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
\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.
","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"}]