Staff AI Engineer, Robot Learning (Navigation)

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications.

What You'll Do:

• Develop next-generation learned navigation systems that integrate complex spatial reasoning and semantic goals to drive robust, real-world robot behaviours.
• Work on open-ended navigation powered by Vision-Language-Action (VLA) models, enabling robots to understand context, navigate multi-agent environments, predict intent, and act safely in dynamic spaces.
• Design and scale data pipelines and evaluation frameworks optimised for training large-scale, end-to-end (e2e) learned behaviours and multimodal navigation models.
• Architect and deploy highly reliable ML systems, taking models out of simulation/labs and hardening them for predictable, repeatable execution on physical hardware.
• Collaborate with cross-functional research and engineering teams to productionise large vision-language-action models, ensuring production metrics meet strict real-world reliability standards.
• Stay ahead of the field, rapidly evaluate new model architectures, multi-agent strategies, and datasets to guide our embodied AI and behaviour-learning roadmap.

What We're Looking For:

• Extensive experience in machine learning for embodied AI, with a proven track record explicitly focused on end-to-end (e2e) learned behaviours using large models (VLAs, VLMs, transformers, or diffusion).
• Deep production expertise: You are someone who gets things into production that work reliably. You have hands-on experience deploying, monitoring, and optimising large-scale ML systems.
• Strong background in spatial reasoning and semantic goals, with experience handling multi-agent dynamics, crowding, or interactive environments.
• Proficiency in PyTorch and the modern tooling required to train, fine-tune, and deploy large-scale foundation models for robotics.
• Exceptional experimental and engineering skills, capable of taking ambitious behaviour-learning concepts from initial research to rock-solid deployment on physical robots.
• Comfortable working in a fast-moving, research-driven environment with evolving models, data, and tools.

What We Offer:

• Meaningful time off to rest and recharge: 23 days of annual leave (accrued), separate sick leave, and paid bank holidays and company holidays.
• Fully funded private healthcare for UK employees, with broad provider access, virtual and in‑person care, and strong mental health and serious illness support.
• 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.