Staff AI Engineer, Robot Learning (Navigation)
Core
Lead the design, development, and optimization of next-gen robot learning systems for humanoid navigation, behavior learning, multi-agent interaction, and semantic goal reasoning in dynamic environments.
Role type
Staff AI Engineer (Robot Learning - Navigation)
Builds
End-to-end learned behaviors for humanoid robots transitioning from lab to real-world autonomy
Domain
Humanoid Robotics / Embodied AI / Autonomous Systems
Deliverable
production ML models
Required skills
End-to-end learned behaviors, Vision-Language-Action (VLA) models, spatial reasoning, multi-agent dynamics, large-scale ML system deployment, PyTorch, foundation model training/fine-tuning
Preferred skills
Experience with transformers or diffusion models, hardening models for physical hardware, rapid evaluation of new model architectures
Technologies
PyTorch, VLA models, VLMs, transformers, diffusion models
Responsibilities
Develop learned navigation systems integrating spatial reasoning and semantic goals; Work on open-ended navigation powered by VLA models; Design and scale data pipelines for e2e learned behaviors; Architect and deploy reliable ML systems from simulation to physical hardware; Collaborate to productionize large vision-language-action models; Evaluate new model architectures and datasets to guide the roadmap
Seniority
Staff, hands-on IC with strategic ownership