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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Robot Learning Engineer β Real-World RL & Teleoperation employer: Genesis
At Technip Energies, we pride ourselves on being an exceptional employer, offering a dynamic and inclusive work culture that fosters collaboration and innovation. Our London office is at the forefront of the energy transition, providing employees with unique opportunities to contribute to high-impact projects in the Power Generation sector while enjoying a supportive environment that prioritises professional growth and environmental responsibility.