Sr. ML Engineer, Autonomous Navigation
Core
Develop learning-based navigation models enabling service robots to move naturally and safely around people and equipment in dynamic hospital environments.
Role type
Senior IC machine-learning engineer (autonomous navigation)
Builds
Learning-based navigation policies for service robots (Moxi)
Domain
Robotics / Healthcare
Deliverable
production ML models
Required skills
imitation learning, reinforcement learning, PyTorch, sequence models, policy learning, trajectory prediction, scenario balancing, reward shaping, domain randomization
Preferred skills
socially-aware navigation, dynamic obstacle avoidance, RL at scale, ROS navigation stacks, eval harnesses
Technologies
PyTorch, ROS
Responsibilities
Develop learning-based navigation models that predict safe, smooth trajectories; Build imitation learning pipelines from fleet logs; Implement simulation-based refinement (RL, reward shaping, domain randomization); Define navigation success metrics aligned to product outcomes; Collaborate with the AI Platform team to integrate learned policies and validate on-robot; Build regression tests and scenario replay suites; Analyze field behavior, identify failure modes, and close the loop through data curation and retraining.
