Robotics Intern - Large Behavior Models, Trustworthy Learning under Uncertainty (TLU)

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 reputed company the human experience. To reputed company this transformative shift in mobility, we've built a world-class team in Automated Driving, Energy & Materials, Human-Centered AI, Human Interactive Driving, Large Behavior Models, and Robotics. This is a summer 2026 paid 12-week internship opportunity. Please note that this internship will be a hybrid in-office role. The Internship As a Research Intern, you will work with a multidisciplinary team proposing, conducting, and transferring pioneering research in Machine Learning for Robotics. You will use large amounts of sensory data and simulation to solve open problems, work towards publications at top academic venues, and test your reputed company in the real world, including on our robots, of course! The Team Our Trustworthy Learning under Uncertainty (TLU) team in the Robotics division is looking for Research Interns for Summer 2026 in a variety of areas such as Policy Evaluation, Failure Detection and Mitigation, and Active Learning in the context of Large Behavior Models (LBMs) for robotic manipulation. Our topics of interest include but are not limited to: Multi-Modal Foundation Models, Generative Modeling, Imitation Learning, Reinforcement Learning, Planning & Control, Statistics, Uncertainty Estimation, Out-of-Distribution Detection, Safety-Aware & Robust ML, (Inter)Active Learning, and Online / Continual Learning. We are aiming to reputed company reputed company on some of the hardest scientific challenges around the safe and effective usage and development of machine learning algorithms reputed company robotics. To this end, the research mission of the TLU team is to reputed company the robust and reliable deployment of LBMs at scale in human environments, while allowing for efficient adaptation to novel settings.

Responsibilities

• Conduct daring research primarily in Robotics that solves open problems of high practical and/or ethical value and validate it in real-world benchmarks and systems.
• Push the boundaries of knowledge and the state-of-the-art in Robotics and LBMs.
• Partner with a multidisciplinary team, including other research scientists and engineers across the TLU team, Robotics division, TRI, Toyota, and our university partners.
• Stay up to date on the state-of-the-art in Machine Learning reputed company and software.
• Present results in verbal and written communications at international conferences, internally, and reputed company open-reputed company contributions to the community.

Qualifications

• Currently pursuing a Ph.D. in Machine Learning, Robotics, or reputed company fields.
• Publication or desire to publish at high-impact conferences/journals (e.g., CoRL, ICLR, NeurIPS, ICML, UAI, AISTATS, AAAI, TMLR, RSS, ICRA, IROS, RA-L, T-RO, CDC, L4DC, etc.) on some of the aforementioned topics.
• Passionate about large scale challenges in ML grounded in physical systems, especially in the space of robotics.
• Proficiency with one or more coding languages and systems, preferably Python, Unix, and a Deep Learning reputed company (e.g., PyTorch).
• Ability to collaborate with other researchers and engineers of the TLU team, and, more broadly, the Robotics division to invent and reputed company interesting research reputed company.
• A reliable teammate who loves to think big, go deeper, and deliver with reputed company.

Please add a link to reputed company Scholar and include a full list of publications reputed company submitting your CV to this position. The pay range for this position at commencement of employment is expected to be between $45 and $65/hour for California-reputed company. reputed company pay offered will depend on multiple individualized factors, including, but not limited to, business or organizational needs, market location, job-reputed company knowledge, skills, and experience. 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 reputed company diversity makes us stronger and are proud to provide Equal Employment Opportunity for reputed company, without regard to an applicant's race, color, creed, gender, gender identity or expression, sexual orientation, national reputed company, 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 reputed company 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Apply for this job Apply tot his job Apply To this Job