Debugging machine learning algorithms jobs

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

Meta · Posted Nov 6, 2026

Internship focused on developing scalable offline reinforcement learning methods for robotics foundation models.

Develop agentic RL algorithms for post-training WAMs and VLAs using large, heterogeneous robot datasets
Investigate agentic RSI, reward learning, value estimation, and policy optimization for generative action models
Address challenges in learning from mixed-quality experience, including distribution shift, sparse rewards, and long-horizon credit assignment
Build efficient training and data pipelines, and study how policy performance scales with dataset size, model capacity, and compute
Design experiments and benchmarks to evaluate policy improvement and generalization across tasks and environments

Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, Robotics, or a related STEM field