Research Scientist Intern - Policy Learning for Robotics - PhD
MetaAdded 4h ago
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Quick summaryby newgrad.ai
What you'll do
- Develop advanced policy learning algorithms for robotic systems.
- Create control policies specifically for dexterous robot manipulation.
- Conduct research over a 12 to 24-week internship period.
What they're looking for
- PhD students with expertise in reinforcement learning and robotics.
- Experience with diffusion models, flow models, and VLAs.
- Knowledge of sim2real techniques for training control policies.
Meta Reality Labs Research is looking for an intern to help us develop the next-generation of policy learning algorithms for robotics applications. In particular, we are seeking candidates who have experience with reinforcement learning, robotic policy learning, diffusion and flow models, vision-language-action models (VLAs), and sim2real to devise effective algorithms to train control policies for dexterous robot manipulation.
Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
From Meta's public posting, laid out for reading by newgrad.ai with the wording unchanged. Check the original before you apply.
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