Robot Learning Engineer — Real-World RL & Teleoperation

Genesis seeks a robotics engineer to develop and optimize a learning-based manipulation control stack, and to design a teleoperation system with smooth, precise motion and low latency. You will train robotic policies using reinforcement learning and imitation learning, deploy them, and diagnose latency in the control pipeline.

The role includes reducing the sim-to-real gap by co-optimizing simulation with real-world robot behavior, and collaborating with a driven team building general-purpose

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