Toyota Research Institute Jobs Hiring Now
Toyota Research Institute is hiring for 10 open roles on Migrate Mate as of October 15, 2026, concentrated in communications and data engineering, with listed salaries up to about $270,000. Migrate Mate updates Toyota Research Institute's live openings daily. Toyota Research Institute is an artificial intelligence and robotics research organization focused on advancing machine learning, computer vision, and materials science.
Find Toyota Research Institute JobsOverview
Toyota Research Institute hiring data on Migrate Mate, as of October 15, 2026.
- Open jobs
- 10
- Top team
- Communications
- Seniority
- Manager level or above
- Work type
- 10% remote or hybrid
- Top location
- Los Altos
- Salary range
- $122,000–$270,000
Listed salaries for Toyota Research Institute roles on Migrate Mate range from about $122,000 to $270,000 per year across 10 open roles, as of October 15, 2026. One role lists an hourly contract rate.
Open Roles at Toyota Research Institute
Showing 10 of 10+ Toyota Research Institute jobs
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 Opportunity
We are seeking a postdoctoral researcher to advance post-training and adaptation for generative robot policies. Our goal is to enable pretrained policies to improve task performance, adapt to human preferences, and acquire new behaviors from limited experience while preserving existing capabilities.
You will work closely with our robotics and machine learning researchers on a focused project, developing new methods and validating them through experiments in simulation and on real robots.
Pretrained robot policies can perform increasingly broad behaviors, yet improving them for new tasks, environments, and user needs remains difficult. Robot experience is limited, feedback can be imperfect, and adapting a policy can undermine capabilities it already has.
Research directions include learning efficiently from demonstrations, online interaction, and human feedback; using reinforcement learning and related methods to improve and customize pretrained policies; and retaining useful improvements across tasks and over time. The project will pursue a specific question within this agenda, shaped jointly around the researcher’s expertise and the team’s research priorities.
Responsibilities
- Develop methods for post-training and adapting pretrained robot policies, taking a focused research question from initial formulation through experimental validation.
-
Design rigorous experiments to evaluate policy improvement, behavioral adaptation, robustness, and retention of existing capabilities relative to robot experience and human effort.
Collaborate with the research team and communicate findings through publications in leading robotics and machine learning venues.
Qualifications
Ph.D. in robotics, machine learning, computer science, or a related field, completed by the start of the appointment.
Strong research background in reinforcement learning, imitation learning, or related robot-learning methods, demonstrated through relevant publications.
Strong programming and experimental skills, including experience with deep learning frameworks such as PyTorch or JAX and with robotic systems.
Ability to develop and carry out a scientific research plan in collaboration with other researchers.
Experience with robot foundation models, online adaptation, human feedback, or continual learning is especially relevant.
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.
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 Opportunity
We are seeking a postdoctoral researcher to advance post-training and adaptation for generative robot policies. Our goal is to enable pretrained policies to improve task performance, adapt to human preferences, and acquire new behaviors from limited experience while preserving existing capabilities.
You will work closely with our robotics and machine learning researchers on a focused project, developing new methods and validating them through experiments in simulation and on real robots.
Pretrained robot policies can perform increasingly broad behaviors, yet improving them for new tasks, environments, and user needs remains difficult. Robot experience is limited, feedback can be imperfect, and adapting a policy can undermine capabilities it already has.
Research directions include learning efficiently from demonstrations, online interaction, and human feedback; using reinforcement learning and related methods to improve and customize pretrained policies; and retaining useful improvements across tasks and over time. The project will pursue a specific question within this agenda, shaped jointly around the researcher’s expertise and the team’s research priorities.
Responsibilities
- Develop methods for post-training and adapting pretrained robot policies, taking a focused research question from initial formulation through experimental validation.
-
Design rigorous experiments to evaluate policy improvement, behavioral adaptation, robustness, and retention of existing capabilities relative to robot experience and human effort.
Collaborate with the research team and communicate findings through publications in leading robotics and machine learning venues.
Qualifications
Ph.D. in robotics, machine learning, computer science, or a related field, completed by the start of the appointment.
Strong research background in reinforcement learning, imitation learning, or related robot-learning methods, demonstrated through relevant publications.
Strong programming and experimental skills, including experience with deep learning frameworks such as PyTorch or JAX and with robotic systems.
Ability to develop and carry out a scientific research plan in collaboration with other researchers.
Experience with robot foundation models, online adaptation, human feedback, or continual learning is especially relevant.
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.
Job Roles at Toyota Research Institute
Working at Toyota Research Institute
Toyota Research Institute's 10 open roles are manager level or above, and about 10% are remote or hybrid. The most active teams are communications, data engineering, and account management. Toyota Research Institute is an artificial intelligence and robotics research organization working across machine learning, computer vision, energy and materials research, and data engineering. Its teams develop research at the intersection of AI and physical systems, with work spanning both foundational science and applied engineering. Most Toyota Research Institute roles are based in Los Altos and Cambridge.
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Browse jobs by roleToyota Research Institute Jobs: Frequently Asked Questions
How many jobs is Toyota Research Institute hiring for right now?
Toyota Research Institute is hiring for 10 open roles on Migrate Mate as of October 15, 2026, updated daily, concentrated in communications and data engineering. Open positions range from machine learning research scientists and computer vision engineers to data engineers and IT specialists, reflecting active hiring across both research and infrastructure functions.
What kinds of roles does Toyota Research Institute hire for?
The most active teams are communications, data engineering, and account management. Toyota Research Institute hires for research scientist roles in machine learning and AI, engineering positions in computer vision and data infrastructure, and occasional internships in materials science and energy research. Most postings are manager level or above, with a strong emphasis on research credentials and technical depth in AI-related disciplines.
Are Toyota Research Institute jobs remote or in-person?
Mostly on-site. About 10% of Toyota Research Institute's open roles on Migrate Mate are remote or hybrid as of October 15, 2026, with the rest based in Los Altos. Each Toyota Research Institute listing shows its work location so you can filter before applying.
How do I apply to a job at Toyota Research Institute?
Find a Toyota Research Institute role on Migrate Mate, then follow the listing through to Toyota Research Institute's own careers page to submit your application directly. Toyota Research Institute manages its own hiring process, including resume review, interviews, and offers. Migrate Mate keeps Toyota Research Institute's listings current so you can check for new openings as they are posted.
What do Toyota Research Institute jobs pay?
Listed salaries for Toyota Research Institute roles on Migrate Mate range from about $122,000 to $270,000 per year as of October 15, 2026, with most postings at manager level or above. One role lists an hourly contract rate. Exact pay is set by Toyota Research Institute and shown on each listing.
Does Toyota Research Institute hire entry-level?
Most of Toyota Research Institute's open roles on Migrate Mate are manager level or above as of October 15, 2026. Entry-level openings are limited. Check individual Toyota Research Institute listings for stated experience requirements.
Where is Toyota Research Institute hiring?
Most Toyota Research Institute roles are based in Los Altos and Cambridge, and about 10% offer remote or hybrid work as of October 15, 2026. Migrate Mate shows the location on each listing.