About the Company:
The company develops humanoid robots for real industrial environments - manufacturing, logistics, warehouses, and large-scale physical operations.
What makes the company especially interesting is that its work has already moved well beyond "research-only robotics." The company's humanoid platform is already running in real industrial pilots, it has roughly 30,000 global preorders, and its partners include major industrial and technology corporations. The company also collaborates with leading players in advanced computing and consumer electronics.
This role sits within the VLA (Vision-Language-Action) team - the group responsible for robot manipulation, autonomy, reasoning, and sim-to-real learning systems. In practice, the team builds the core intelligence behind how humanoid robots understand and interact with the physical world.
What makes the company especially interesting is that its work has already moved well beyond "research-only robotics." The company's humanoid platform is already running in real industrial pilots, it has roughly 30,000 global preorders, and its partners include major industrial and technology corporations. The company also collaborates with leading players in advanced computing and consumer electronics.
This role sits within the VLA (Vision-Language-Action) team - the group responsible for robot manipulation, autonomy, reasoning, and sim-to-real learning systems. In practice, the team builds the core intelligence behind how humanoid robots understand and interact with the physical world.
Why this is interesting:
- Working on real robots operating in real-world environments - not purely simulation research.
- Opportunity to join one of the few teams globally building humanoid robotics at commercial scale.
- Fast-growing environment with high ownership and direct impact on core systems.
- Strong technical environment across RL, VLMs, LLMs, simulation, manipulation, and robotics infrastructure.
What You Will 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.
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, pro-active, 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.
What the Company Offers:
- Competitive compensation package depending on level, experience, and background.
- This role is fully onsite in London. Robotics engineers work directly with physical robot prototypes and lab infrastructure on a daily basis, so the company currently does not support remote or hybrid work for these teams.
- Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays.
- Fully funded private healthcare
- Equity included - we believe builders should share in what they build.
- Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in‑office.
- Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
- Freedom to influence the product and own key initiatives.
Send your CV on Telegram @veronikavlasovets