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Robot Learning

Genesis· Engineering & Research
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Hybrid (London)Full-timePosted 1mo ago

About the role

Role focused on developing and optimizing a learning-based robotic manipulation control stack, teleoperation system, and training policies with RL and imitation learning, with emphasis on reducing sim-to-real gap and deploying policies in real robots.

Responsibilities

  • Develop and optimize a learning-based robotic manipulation control stack
  • Design and maintain a teleoperation system with smooth, precise motion and low latency
  • Train robotic policies for manipulation and locomotion with reinforcement learning and imitation learning
  • Deploy robotic policies and diagnose latency or bottlenecks in the control pipeline
  • Analyze and minimize the sim-to-real gap by co-optimizing simulation and real-world robot behavior
  • Collaborate with a team of driven individuals committed to building general-purpose Physical AI

Qualifications

  • Passion for your craft and demonstrated excellence in robotics engineering
  • Exceptional ownership and initiative—finding and solving problems independently
  • Focus, attention to detail, patience, and a methodical approach to complex tasks
  • Production-level expertise in modern Python or C++
  • Extensive experience building and deploying real-world learning-based robotic systems (5+ years)

Skills

Required:Robotics engineeringPythonC++Reinforcement learningImitation learning
Last updated Sep 10, 2026. Interested? Apply on the company site.

About Genesis

A new future is at hand.

We are a new generation of robotics builders, united by a shared mission to push the boundaries of physical AI.

AIGENEGenesisfrontier-labsheadline-ai-europe-100-2026intelligencerobotics
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