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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 will 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; strong RL in any domain is what matters. The team is research-adjacent, but the output is policies that work on the robot.
Responsibilities
- 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).
Requirements
- 3+ years building deep learning systems in industry or research, with shipped models or published work to show for it.
- Solved real problems with RL and deep neural networks, in any domain.
- 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.
- Strong coding fundamentals.
- Proactive: can take an open, messy problem and drive it without waiting for a spec.
- Document experiments clearly and explain trade-offs crisply.
- Working English.
Skills
- Python
- PyTorch
- JAX
- LLMs
- VLMs
- Image generative models
- Video generative models
- Robotics simulators (Isaac Sim, MuJoCo, etc.)
- Large-scale RL infrastructure (e.g. Ray)
- OpenVLA
- Physical Intelligence (π) models
- VLA frameworks
Location
- London, UK
Work Type
- On-site
- Full-time
Experience Level
- Senior
Salary/Compensations
- A wide range, set by the level you show in the interviews.
Benefits
- Equity: stock options with meaningful upside as Humanoid scales.
- 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.
- 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, 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.