Robotics Learning Engineer - Teleoperation & RL Systems

Genesis AI; Greater London; Hybrid; GBP 60,000 - 110,000; Full time

Job summary

Genesis AI in Greater London seeks a robotics engineer to develop and optimize a learning-based manipulation and teleoperation stack, train policies via reinforcement and imitation learning, and deploy real-world robotic systems.

You will collaborate with a team to minimize sim-to-real gaps, diagnose latency bottlenecks, and push toward general-purpose Physical AI. 5+ years of production robotics experience and Python/C++ proficiency are required.

Qualifications

• Passion for robotics engineering with demonstrated excellence.
• Ability to own and drive problems independently.
• Detail-oriented, methodical approach to complex tasks.
• Production-level Python or C++ expertise.
• 5+ years of experience building and deploying learning-based robotic systems.

Responsibilities

• Develop and optimize a learning-based robotic manipulation control stack.
• Design and maintain a teleoperation system with low latency.
• Train robotic policies for manipulation and locomotion with RL and IL.
• 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 behavior.
• Collaborate with a team to build general-purpose Physical AI.

Skills

Robotics engineering

Python

C++

Reinforcement learning

Imitation learning

Teleoperation systems

Job description

Genesis AI in Greater London seeks a robotics engineer to develop and optimize a learning-based manipulation and teleoperation stack, train policies via reinforcement and imitation learning, and deploy real-world robotic systems.

You will collaborate with a team to minimize sim-to-real gaps, diagnose latency bottlenecks, and push toward general-purpose Physical AI. 5+ years of production robotics experience and Python/C++ proficiency are required.