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Research Scientist Intern, Robotics Foundation Models Post-Training (PhD)

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Develop scalable offline reinforcement learning methods to post-train robot world action and vision-language-action models using large, mixed-quality datasets. Work includes reward learning, policy optimisation and studying how performance scales with data and compute. Intended for PhD candidates on a 12 to 24 week internship.

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Meta
Zurich, Switzerland
Intern
Robot Learning & AI
20 October 2026

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