Staff AI Engineer, Robot Navigation & Learning

Humanoid; Greater London; On-site; GBP 110,000 - 150,000; Full time

Benefits offered by this job

Stock options

30+ paid days off

Private healthcare

Pension 8%

Free meals

Job summary

Humanoid in London is seeking a Staff AI Engineer, Robot Learning (Navigation) to lead the design, development and optimization of next‑gen robot learning systems for navigation, behavior learning, multi‑agent interaction, and semantic goal reasoning in dynamic environments.

As a staff member you will own the stack that moves robots from lab tasks to real‑world autonomy, deploying reliable ML systems and collaborating with cross‑functional research and engineering teams to productionize large

Qualifications

• Extensive experience in embodied AI and end-to-end learned behaviors.
• Proven track record deploying ML systems to production.
• Strong spatial reasoning and multi-agent dynamics experience.
• Proficiency with PyTorch and large-scale foundation models.
• Ability to work in a fast-moving, research-driven environment.

Responsibilities

• Lead design, development and optimization of navigation learning systems.
• Develop and scale data pipelines and evaluation frameworks.
• Collaborate with cross-functional teams to productionize models.
• Architect and deploy ML systems to real hardware.
• Evaluate new architectures and datasets to guide roadmap.

Skills

Embodied AI

End-to-end ML deployment

Multi-agent systems

Spatial reasoning

Production mindset

Tools

PyTorch

Job description

Humanoid in London is seeking a Staff AI Engineer, Robot Learning (Navigation) to lead the design, development and optimization of next‑gen robot learning systems for navigation, behavior learning, multi‑agent interaction, and semantic goal reasoning in dynamic environments.

As a staff member you will own the stack that moves robots from lab tasks to real‑world autonomy, deploying reliable ML systems and collaborating with cross‑functional research and engineering teams to productionize large