Toyota Research Institute Jobs Hiring Now
Toyota Research Institute is hiring for 12 open roles on Migrate Mate as of July 16, 2026, concentrated in software engineering and AI (Artificial Intelligence), with listed salaries up to about $300,000. 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 July 16, 2026.
- Open jobs
- 12
- Top team
- Software Engineering
- Seniority
- Mid to senior level
- Work type
- 0% remote or hybrid
- Top location
- Los Altos
- Salary range
- $90,000–$300,000
Listed salaries for Toyota Research Institute roles on Migrate Mate range from about $90,000 to $300,000 per year across 12 open roles, as of July 16, 2026. One role lists an hourly contract rate.
Open Roles at Toyota Research Institute
Showing 12 of 12+ 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 CHALLENGE
The long-term vision of TRI’s Accelerated Materials Design and Discovery (AMDD) program is to accelerate the development of truly emissions-free mobility. Realizing this vision will require the discovery of new materials and devices for batteries, fuel cells, and more. Our aim at TRI is to merge sophisticated computational materials modeling, new experimental data, artificial intelligence, and automation to significantly accelerate materials research. Our focus is on developing tools and capability to enable this acceleration. We collaborate closely with colleagues across global Toyota, as well as with universities and national labs. AMDD seeks to develop and translate the newest technologies into practice, both within Toyota and the open research community.
Our goal is to integrate this fundamental chemical intuition as a primary, first-class input within our models, moving beyond post-hoc analysis. The team is currently developing representations where internal variables are engineered to represent chemical meaning, rather than only statistical correlations. We are ready to expand this vision with a scientist who can further sharpen the underlying chemistry of our approach.
In this role, you will work alongside ML researchers and software engineers to translate these insights into practical tools that drive real-world materials decisions. You will have the opportunity to publish your findings in leading venues across both materials chemistry and the AI-for-materials community. Join us in defining a future where chemical heuristics are central to modern, AI-driven materials discovery.
THE TEAM
You will expand your professional network, as part of a creative team of scientists and engineers dedicated to enabling a sustainable future. Our team prioritizes learning new skills together at the interface of materials science and AI. You will be part of the Energy & Materials division which is accelerating Toyota’s path to carbon neutrality. In addition to our work on accelerating materials discovery, the division develops capabilities for AI assisted manufacturing, AI technologies to scale from materials to devices, and provides strategic analysis on carbon neutral pathways and technologies.
Responsibilities
- Develop chemically grounded hypotheses that guide materials discovery and help clarify which scientific relationships matter most.
- Translate fundamental chemical intuition into scientific inputs, constraints, evaluation criteria, and validation strategies for AI-assisted materials workflows.
- Analyze complex inorganic and functional materials systems to identify structure-property relationships relevant to batteries, fuel cells, and other emissions-free mobility technologies.
- Partner with ML researchers and software engineers to ensure that materials-design tools reflect sound chemical reasoning and are scientifically meaningful.
- Design and assess workflows that connect computational materials modeling, experimental data, literature evidence, and AI-assisted prediction or optimization.
- Evaluate model outputs using domain knowledge, first-principles calculations, experimental data, or other appropriate scientific benchmarks.
- Communicate scientific insights clearly through internal technical discussions, cross-functional collaborations, publications, and presentations.
- Collaborate with colleagues across TRI, Toyota, universities, and national labs to translate emerging materials-discovery methods into useful research capabilities.
Qualifications
- Hold a PhD in solid-state/inorganic chemistry, materials chemistry, materials science, condensed-matter physics, or a related field.
- Have a strong publication record using chemical reasoning to predict or design functional inorganic materials.
- Have hands-on experience with at least one of: solid-state synthesis, structural characterization, electrochemistry, or first-principles workflows.
- Are excited to translate fundamental chemical understanding into practicaltools that address real industrial problems.
- Thrive in a culture that values diversity, collaboration, humility, and learning.
The pay range for this position at commencement of employment is expected to be between $180,000 and $258,750/year for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, 401(k) eligibility, paid time off benefits (including vacation, sick time, and parental leave), and an annual cash bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.
Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.
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 CHALLENGE
The long-term vision of TRI’s Accelerated Materials Design and Discovery (AMDD) program is to accelerate the development of truly emissions-free mobility. Realizing this vision will require the discovery of new materials and devices for batteries, fuel cells, and more. Our aim at TRI is to merge sophisticated computational materials modeling, new experimental data, artificial intelligence, and automation to significantly accelerate materials research. Our focus is on developing tools and capability to enable this acceleration. We collaborate closely with colleagues across global Toyota, as well as with universities and national labs. AMDD seeks to develop and translate the newest technologies into practice, both within Toyota and the open research community.
Our goal is to integrate this fundamental chemical intuition as a primary, first-class input within our models, moving beyond post-hoc analysis. The team is currently developing representations where internal variables are engineered to represent chemical meaning, rather than only statistical correlations. We are ready to expand this vision with a scientist who can further sharpen the underlying chemistry of our approach.
In this role, you will work alongside ML researchers and software engineers to translate these insights into practical tools that drive real-world materials decisions. You will have the opportunity to publish your findings in leading venues across both materials chemistry and the AI-for-materials community. Join us in defining a future where chemical heuristics are central to modern, AI-driven materials discovery.
THE TEAM
You will expand your professional network, as part of a creative team of scientists and engineers dedicated to enabling a sustainable future. Our team prioritizes learning new skills together at the interface of materials science and AI. You will be part of the Energy & Materials division which is accelerating Toyota’s path to carbon neutrality. In addition to our work on accelerating materials discovery, the division develops capabilities for AI assisted manufacturing, AI technologies to scale from materials to devices, and provides strategic analysis on carbon neutral pathways and technologies.
Responsibilities
- Develop chemically grounded hypotheses that guide materials discovery and help clarify which scientific relationships matter most.
- Translate fundamental chemical intuition into scientific inputs, constraints, evaluation criteria, and validation strategies for AI-assisted materials workflows.
- Analyze complex inorganic and functional materials systems to identify structure-property relationships relevant to batteries, fuel cells, and other emissions-free mobility technologies.
- Partner with ML researchers and software engineers to ensure that materials-design tools reflect sound chemical reasoning and are scientifically meaningful.
- Design and assess workflows that connect computational materials modeling, experimental data, literature evidence, and AI-assisted prediction or optimization.
- Evaluate model outputs using domain knowledge, first-principles calculations, experimental data, or other appropriate scientific benchmarks.
- Communicate scientific insights clearly through internal technical discussions, cross-functional collaborations, publications, and presentations.
- Collaborate with colleagues across TRI, Toyota, universities, and national labs to translate emerging materials-discovery methods into useful research capabilities.
Qualifications
- Hold a PhD in solid-state/inorganic chemistry, materials chemistry, materials science, condensed-matter physics, or a related field.
- Have a strong publication record using chemical reasoning to predict or design functional inorganic materials.
- Have hands-on experience with at least one of: solid-state synthesis, structural characterization, electrochemistry, or first-principles workflows.
- Are excited to translate fundamental chemical understanding into practicaltools that address real industrial problems.
- Thrive in a culture that values diversity, collaboration, humility, and learning.
The pay range for this position at commencement of employment is expected to be between $180,000 and $258,750/year for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, 401(k) eligibility, paid time off benefits (including vacation, sick time, and parental leave), and an annual cash bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.
Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.
Job Roles at Toyota Research Institute
Working at Toyota Research Institute
Toyota Research Institute's 12 open roles are mid to senior level, and about 0% are remote or hybrid. The most active teams are software engineering, AI (Artificial Intelligence), and engineering (Non-Software). 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 12 open roles on Migrate Mate as of July 16, 2026, updated daily, concentrated in software engineering and AI (Artificial Intelligence). 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 software engineering, AI (Artificial Intelligence), and engineering (Non-Software). 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 mid to senior level, 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 0% of Toyota Research Institute's open roles on Migrate Mate are remote or hybrid as of July 16, 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 $90,000 to $300,000 per year as of July 16, 2026, with most postings at mid to senior level. 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 mid to senior level as of July 16, 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 0% offer remote or hybrid work as of July 16, 2026. Migrate Mate shows the location on each listing.