Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.

About the Role

We're hiring a Reinforcement Learning Engineer to join our Autonomy team based in London. In this role you will leverage reinforcement learning in both simulation and physical reality to build highly performant and robust manipulation policies.

What You'll Do

• Train language-vision conditioned manipulation policies via reinforcement learning (RL) in simulation and in the real world.

• Construct challenging and diverse suites of manipulation tasks in simulation.

• Partner with teleoperations to collect trajectories in simulation for behavior cloning.

• Partner with testing and operations to establish real-world RL training pipelines.

• Experiment with various ways of bringing policies trained in simulation to the