Reinforcement Learning Engineer - Manipulation

Join Humanoid, a company on a mission to build the world's most capable humanoid robots. As a Reinforcement Learning Engineer, you will leverage reinforcement learning to build robust manipulation policies in both simulation and physical reality. You will work closely with various teams to establish real-world training pipelines and experiment with bringing policies trained in simulation to the real world.

• Train language-vision conditioned manipulation policies via reinforcement learning (RL) in simulation and in the real world.
• Construct challenging and diverse suites of manipulation tasks in simulation.
• Partner with teleoperations to collect trajectories in simulation for behavior cloning.