Toyota Research Institute · 11 hours ago
Research Scientist, Trustworthy Learning under Uncertainty (TLU) - Large Behavior Models
Toyota Research Institute (TRI) is focused on improving the quality of human life through innovative research in robotics and machine learning. They are seeking a Research Scientist to conduct cutting-edge research on the reliable deployment of large behavior models in robotic manipulation, aiming to enhance the trustworthiness of these models in human environments.
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Responsibilities
Work as part of a dynamic, closely-knit team conducting research on reliable, robust, and adaptive deployment of machine learning models in robot manipulation
Push the boundaries of knowledge and the state-of-the-art in Robotics and LBMs
Contribute to cutting-edge development in the areas of: Rigorous Policy Evaluation, Failure Detection and Mitigation, and Active / Continual Learning
Be a key member of the team and play a critical role in rapid progress measured by both the development of internal capabilities and high-impact external publication
Collaborate with internal research scientists and engineers across the TLU team, Robotics division, TRI, and Toyota, as well as our university partners across top academic research universities, such as MIT, Stanford, CMU, Columbia, USC, and Princeton
Present results in verbal and written communications at international conferences, internally, and via open-source contributions to the community
Qualification
Required
4+ years of relevant industry experience or a Ph.D. in Machine Learning, Robotics, or related fields
Passionate about large scale challenges in ML grounded in physical systems, especially in the space of robotic manipulation
Expertise in 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/or Online / Continual Learning
A strong track record of publication 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
Proficiency with one or more coding languages and systems, preferably Python, Unix, and a Deep Learning framework (e.g., PyTorch)
Ability to collaborate with other researchers and engineers of the TLU team, and, more broadly, the Robotics division to invent and develop interesting research ideas
A reliable teammate who loves to think big, go deeper, and deliver with integrity
Preferred
Some familiarity with robots and the challenges inherent in conducting research on physical hardware platform
Familiarity with data pipelines, model serving and optimization, cloud training, and dataset management is also useful
Benefits
Medical, dental, and vision insurance
401(k) eligibility
Paid time off benefits (including vacation, sick time, and parental leave)
Annual cash bonus structure
Company
Toyota Research Institute
Toyota Research Institute is an R&D enterprise with an initial focus on artificial intelligence and robotics.
H1B Sponsorship
Toyota Research Institute has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
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Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (10)
2020 (7)
Funding
Current Stage
Growth StageRecent News
2025-12-18
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