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.