At Toyota Research Institute (TRI), we’re conducting research to amplify human ability, focusing on making our lives safer and more sustainable. Led by Dr. Gill Pratt, TRI’s team of researchers develops technologies to advance AI, robotics, driving, and material sciences. We’re dedicated to building a world of “mobility for all” where everyone, regardless of age or ability, can live in harmony with technology to enjoy a better life. Through innovations in AI, we will:
- Develop technology for vehicles and robots to help people enjoy new levels of independence, access, and mobility.
- Bring advanced mobility technology to market faster.
- Discover new materials that will make batteries and hydrogen fuel cells smaller, lighter, less expensive, and more powerful.
Our work is guided by a dedication to safety– seen in how we research, develop, and validate the performance of vehicle technology to benefit society. As a subsidiary of Toyota, TRI is fueled by a diverse and inclusive community of people who carry invaluable leadership, experience, and ideas from industry-leading companies. Over half of our technical team holds PhD degrees. We’re continually searching for the world’s best talent ‒ people who are ready to define the new world of mobility with us!
We strive to build a company that helps our people thrive, achieve work-life balance, and bring their best selves to work. At TRI, you will have the opportunity to enjoy the best of both worlds ‒ a fun start-up environment with brilliant people who enjoy solving tough problems and the financial backing to successfully achieve our goals. Come work with TRI if you’re interested in transforming mobility through designing safer cars, enabling the elderly to age in place, or designing alternative fuel sources. Start your impossible with us.
At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.
This is a paid 12-week internship opportunity and is a hybrid, in-office role.
Here’s a glimpse into the Internship experience from some of our TRI interns!
The Team
Within the Extreme Performance Intelligent Control team, we develop techniques to advance vehicle safety and performance capabilities using tools from optimization, machine learning, and computer vision. We are pursuing a cooperative approach to high-performance driving by developing accelerated perception and filtering frameworks for on-board extreme vehicle maneuvering that match or exceed the skills of expert drivers. We envision a world where these vehicles enable their drivers, creating a safe and enjoyable experience for all.
The Opportunity
We are looking for a research intern to develop new perception, embodied reasoning, modeling, and/or control methodologies for high-performance driving. This is an opportunity to apply your knowledge to novel problems and develop impactful research that is validated in hardware. This paid, 12-week, Summer 2027 internship is a hybrid in-office role at our headquarters in Los Altos, CA, and will involve experiments with high-performance vehicles on a closed racetrack.
\n
Responsibilities
Develop new perception, modeling, embodied reasoning, and/or control algorithms.
Implement, deploy, and evaluate models and algorithms on high-performance cars.
Present results in verbal and written form internally and at international conferences.
Qualifications
Ph.D. candidate working in: computer vision, machine learning, robotics, embodied reasoning, or related fields.
Proficiency in at least one of the following: Python, C++, ROS(2), PyTorch, JAX.
Experience with geometric foundation models, LiDAR/visual inertial odometry stacks, and/or Bayesian filtering methods.
Experience in deploying algorithms on real-world platforms.
Excellent collaboration and communication skills.
Strong interest in pushing the limits of vehicle autonomy and embodied AI.
\n
Please include links to any relevant open-source contributions or technical project write-ups with your application.
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.
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.
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.
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.
