RL Engineer | Humanoid

The role

You will use reinforcement learning in simulation and on real hardware to turn vision-language-action models into manipulation policies. You will build manipulation task suites and work with teleoperations and testing teams to bring policies to the real world.

What you will 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).

Required qualifications

• 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 yourself (architecture, training and inference) on at least one of: LLMs, VLMs, image or video generative models.
• Strong Python and PyTorch or JAX.
• You can profile, debug numerics and write maintainable research code.
• Strong coding fundamentals.
• You are proactive: you can take an open, messy problem and drive it without waiting for a spec.
• You document experiments clearly and explain trade-offs crisply.
• Working English.

Nice to have

• Experience with robotics simulators (Isaac Sim, MuJoCo, etc.)
• Experience applying RL to robotics
• Experience building infrastructure for large-scale RL (e.g. Ray)
• Publications at ICLR, ICML, NeurIPS or equivalent open-source contributions
• Familiarity with OpenVLA, Physical Intelligence (π) models or similar open VLA frameworks

Benefits

• 30+ paid days off: 23 days annual leave, all UK bank holidays and a company shutdown between Christmas and New Year
• Private healthcare: fully funded, including virtual and in-person care
• Pension: 8% total contribution (5% employee, 3% employer) on full earnings
• Daily food: free breakfast, catered lunch and snacks in the office
• Real ownership: direct access to founding leadership, real input on product direction and room to drive key initiatives from day one

Before you apply

• The process includes a LeetCode-style coding round
• Visa sponsorship and relocation to London

About the company

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.