Reinforcement Learning Researcher

The Reinforcement Learning Researcher role involves leading a research agenda in offline reinforcement learning, driving projects from initial questions to shared findings. The position focuses on scientific depth and judgment, collaborating with established colleagues while allowing for independent research paths. Responsibilities include improving control policies, training models on large datasets, and investigating model-based methods for continuous control.