Sr. ML Engineer, Autonomous Navigation

What we’re doing isn’t easy, but nothing worth doing ever is.

We envision a future powered by robots that work seamlessly with human teams. We build artificial intelligence that enables service robots to collaborate with people and adapt to dynamic human environments. Join our mission-driven team as we build out current and future generations of robots. As a Sr. ML Engineer, Autonomous Navigation, you will develop learning-based navigation models that enable Moxi to move naturally and safely around people, beds, wheelchairs, and equipment. You’ll train policies using fleet data (imitation learning) and refine behavior with simulation and RL. Your work will directly impact delivery speed, reduced hesitation/deadlocks, and fewer interventions in real hospital deployments. ### Responsibilities

• Develop learning-based navigation models that predict safe, smooth trajectories from sensor inputs and/or perception representations. - Build imitation learning pipelines from fleet logs (trajectory extraction, filtering, scenario balancing, evaluation). - Implement simulation-based refinement (RL, reward shaping, domain randomization) to improve robustness. - Define navigation success metrics aligned to product outcomes. - Collaborate with the AI Platform team to integrate learned policies behavior/safety systems and validate on-robot. - Build regression tests and scenario replay suites for challenging scenarios. - Analyze field behavior, identify failure modes, and close the loop through data curation and retraining. ###