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TriPosted Oct 26, 2026
Robotics Intern, Post-Training and Continual Learning
Los Altos, CAinternshipOn SiteentryH1B: no
Tri Robotics Intern at Toyota Research Institute focusing on post-training and continual learning for robotic policies. The role involves research in reinforcement learning, imitation learning, and policy adaptation for real-world robotic tasks.
Responsibilities
- Our research interests include reinforcement learning, imitation learning, human-in-the-loop learning, simulation, world models, policy distillation, and large-scale robot learning. We aim to advance the scientific foundations of policy adaptation while developing methods that may ultimately be evaluated or deployed within internal research projects involving real-world industrial tasks.
- Potential research directions include, but are not limited to:
- Offline-to-online reinforcement learning
- DAgger, imitation learning, and human-in-the-loop policy improvement
- Sim-to-real policy distillation and adaptation
- Policy improvement, planning, or data generation using world models
- Data-efficient adaptation to new tasks and environments
Benefits
- Paid internship
Company
Source: lever
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