Staff AI Engineer, Robot Learning (Navigation)

📋 Description

• Develop learned navigation with spatial reasoning for real-world robot behaviors.
• Advance navigation with Vision-Language-Action models for context-aware multi-agent safety.
• Design and scale data pipelines and evals for large-scale end-to-end learning.
• Architect and deploy reliable ML systems from lab to hardware with repeatable execution.
• Productionize large Vision-Language-Action models with reliability metrics.
• Evaluate new models and datasets to guide the embodied AI roadmap.

🎯 Requirements

• Extensive ML for embodied AI with end-to-end learned behaviors using large models.
• Deep production expertise: deploy, monitor, and optimize large-scale ML systems.
• Strong spatial reasoning and semantic goals; experience with multi-agent dynamics.
• Proficiency in PyTorch and tooling to train, fine-tune, deploy robotics models.
• Exceptional experimental engineering skills from research to real robot deployment.
• Comfortable in a fast-moving, research-driven environment with evolving models.

🎁 Benefits

• Competitive equity: stock options with upside.
• 30+ paid days off including 23 days leave and UK holidays.
• Private healthcare including virtual and in-person care.
• Pension 8% total contribution (5% employee, 3% employer).
• Free daily breakfast, lunch, and snacks in-office.
• Real ownership: direct access to founding leadership and key initiatives.