Robot Learning Engineer | Humanoid

<p style="min-height:1.5em"><strong>Role:</strong> Robot Learning Engineer<br /><strong>Company:</strong> <a target="_blank" rel="noopener noreferrer nofollow" href="https://thehumanoid.ai/">Humanoid</a><br /><strong>Location:</strong> London, UK (King’s Cross) – on-site, five days a week<br /><strong>Job Type:</strong> Full-time</p><p style="min-height:1.5em"><strong>About Humanoid</strong></p><p style="min-height:1.5em">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.</p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">300+ people, 34+ nationalities, flat structure: your decisions ship directly into real robots.</p></li><li><p style="min-height:1.5em">Offices in London (HQ, King’s Cross), Boston, Vancouver and San Diego.</p></li><li><p style="min-height:1.5em">Backed by serious funding, growing fast and deliberately.</p></li><li><p style="min-height:1.5em">Values: Speed, Ambition, Passion, Trust.</p></li></ul><p style="min-height:1.5em"><strong>About the role</strong></p><p style="min-height:1.5em">The Manipulation team sits at the center of everything Humanoid does. In their own words, they are the bottleneck: the work is intense, the impact is immediate, and from day one you get access to prototype hardware worth hundreds of thousands of pounds. The team works on whole-body locomotion and manipulation, using imitation learning and RL on real robots.</p><p style="min-height:1.5em">This is a senior or staff individual contributor role with no management track, and the team is hiring for several openings. It is not a research role: the goal is policies that work on the robot, and results are shared as blog posts, not papers.</p><p style="min-height:1.5em"><strong>What you are expected to do</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Post-train manipulation policies with behaviour cloning and RL, and own the full loop from raw data to deployment on a real robot.</p></li><li><p style="min-height:1.5em">Work with the simulation team to set up RL training on a digital twin. Iterate on reward design and simulation quality to get reliable sim-to-real transfer.</p></li><li><p style="min-height:1.5em">Partner with the Data Collection org to drive collection: define what good data looks like, ensure diversity and coverage, iterate on operator instructions.</p></li><li><p style="min-height:1.5em">Design data preprocessing strategies that improve the quality of collected data.</p></li><li><p style="min-height:1.5em">Expand observation and action spaces to support new capabilities, and work with the Teleoperations team to expose them to robot operators.</p></li><li><p style="min-height:1.5em">Work with the Controls teams to improve motion smoothness and the teleoperation experience.</p></li><li><p style="min-height:1.5em">Feed what you learn about current hardware limits back into future hardware design cycles.</p></li><li><p style="min-height:1.5em">Work closely with the pre-training team to take advances from research and make them work reliably in real-world industrial demos.</p&