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Reinforcement Learning Engineer - Manipulation
Reinforcement Learning Engineer - Manipulation
HumanoidAbout the role
Humanoid is seeking a Reinforcement Learning Engineer to join their Autonomy team in London. This role focuses on leveraging reinforcement learning in both simulation and physical reality to develop robust manipulation policies for humanoid robots. The ideal candidate will have 3+ years of experience building deep-learning systems, hands-on experience with LLMs, VLMs, or generative models, and strong Python + PyTorch/JAX skills. You will be instrumental in training language-vision conditioned manipulation policies and establishing real-world RL training pipelines to advance the HMND‑01 Alpha platform.
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