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Research Scientist Intern, Robotics Foundation Models, Agentic RL (PhD)

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You will develop scalable offline reinforcement learning methods to post-train vision-language-action and world action models for robotic manipulation, using large robot datasets. The internship is aimed at PhD candidates and covers reward learning, policy optimisation and evaluation of generalisation.

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Menlo Park, United States
Intern
Robot Learning & AI
6 November 2026

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