Humanoid
Reinforcement Learning Engineer - Manipulation
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Humanoid - Reinforcement Learning Engineer
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 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - 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 real world.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What We're Looking For
- 3+ years building deep-learning systems (industry or research) with shipped models or published artifacts to show for it.
- Hands-on with at least one of: LLMs, VLMs, or image/video generative models — architecture, training, and inference.
- Experience solving real problems using reinforcement learning with deep neural networks in any domain.
- Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code.
- You are self-driven, proactive, communicate efficiently, document experiments clearly and communicate trade-offs crisply.
Nice to have
- Experience with simulators for robotics (Isaac Sim, MuJoCo etc.)
- Experience in RL for robotics.
- Experience building infrastructure for large-scale RL (e.g. using ray).
- Publications at ICLR/ICML/NeurIPS or equivalent open-source contributions.
- Familiarity with OpenVLA, Physical Intelligence (π) models, or similar open VLA frameworks.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
What We Offer
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location