Reinforcement Learning Engineer - Manipulation
Develop and train reinforcement learning policies for robotic manipulation using language and vision inputs, both in simulation and on real-world humanoid robots. Work across the full development pipeline, from creating diverse simulation tasks to deploying and refining policies on physical systems. Collaborate with teleoperations and testing teams to improve data collection and real-world performance.