Sr. ML Engineer, Autonomous Navigation
Core
Develop learning-based navigation models enabling service robots to move naturally and safely in dynamic human environments like hospitals.
Role type
Senior IC machine-learning engineer (autonomous navigation)
Builds
Learning-based navigation policies for service robots (Moxi)
Domain
Robotics + Autonomous Systems
Deliverable
production ML models
Required skills
imitation learning, reinforcement learning, PyTorch, sequence models, policy learning, trajectory prediction, sensor data processing
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 predicting safe trajectories from sensor inputs; Build imitation learning pipelines from fleet logs; Implement simulation-based refinement using RL and reward shaping; Define navigation success metrics aligned to product outcomes; Collaborate with AI Platform team to integrate policies and validate on-robot; Analyze field behavior, identify failure modes, and curate data for retraining.
Seniority
Senior, hands-on IC