hirehire · London
Skills: Python
Role: Reinforcement Learning Engineer – Manipulation Company: Humanoid https://thehumanoid.ai/ Location: London, UK (King’s Cross) – on-site, five days a week Job Type: Full-time About Humanoid Humanoid is building the world’s most capable, commercially scalable and safe humanoid robots. Its platform, HMND-01, is already deployed in real industrial environments, which makes Humanoid the most serious humanoid robotics company in Europe. - 300+ people, 34+ nationalities, flat structure: your decisions ship directly into real robots. - Offices in London (HQ, King’s Cross), Boston, Vancouver and San Diego. - Values: Speed, Ambition, Passion, Trust. About the role The VLA Core team builds the base vision-language-action model the whole company runs on, covering pre-training, world models and RL. In this role you use reinforcement learning, in simulation and on real hardware, to turn that model into high-performing, robust manipulation policies. This is a senior individual contributor role with no management track. Robotics experience is not required: very few people have done RL on real robots, so strong RL in any domain is what matters. The team is research-adjacent, but the output is policies that work on the robot. Results are shared as blog posts, not papers. What you are expected to do - Train language- and vision-conditioned manipulation policies with RL, in simulation and in the real world. - Build challenging and diverse suites of manipulation tasks in simulation. - Work with Teleoperations to collect trajectories in simulation for behaviour cloning. - Work with Testing and Operations to set up real-world RL training pipelines. - Find ways to bring policies trained in simulation to the real world (sim-to-real). What you need to succeed - 3+ years building deep learning systems in industry or research, with shipped models or published work to show for it. - You have solved real problems with RL and deep neural networks, in any domain. - You have trained models you…
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