ReeVR Talent
Senior Reinforcement Learning Engineer
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Senior Reinforcement Learning Engineer – Robotics | London
We’re working with a highly innovative robotics company developing next-generation robotic systems, and we’re looking for a Senior Reinforcement Learning Engineer to join the team.
You’ll work on challenging problems across dynamic locomotion, balance, contact-rich manipulation and multi-behaviour learning, taking policies from large-scale simulation through to deployment on real hardware.
What you’ll do
- Design and train RL policies for robotic control
- Build scalable training pipelines using Isaac Lab, MuJoCo or similar
- Design reward functions, observations and training curricula
- Improve sim-to-real transfer and policy robustness
- Deploy and evaluate policies on real robotic systems
- Work closely with controls and robotics engineers to integrate learned policies
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What we’re looking for
- Strong hands-on experience with reinforcement learning, such as PPO, SAC or offline RL
- Experience applying RL to robotics or physical systems
- Experience deploying learned policies on real robotic hardware
- Strong Python and/or C++
- Experience with physics-based simulation environments
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Experience with locomotion, sim-to-real, robot dynamics, control or whole-body control is particularly relevant.
This is a highly technical, senior-level opportunity with significant ownership across the RL pipeline, from simulation and training through to real-world deployment.
Location: London
Level: Senior
Relocation support available
For further details, please get in touch for a confidential conversation.
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