Machine Learning Engineer - Scene Understanding

This role focuses on designing and deploying high-performance ML for Bird's Eye View scene analysis and real-time hazard detection in urban driving. You will develop algorithms and on-vehicle software for model inference and result post-processing that run reliably in real time, integrating with Localization, Perception, Prediction, and Planning teams. Lead end-to-end data strategy—including mining, auto-labeling, and dataset construction—to continuously improve ML models. You will address unstructured scenarios to identify hazards and enforce driving restrictions in complex or restricted zones. You will leverage large-scale data pipelines to research, prototype, and deploy changes that enhance vehicle handling of complex road situations. Collaborate with cross-functional teams to deliver a seamless, safe, and reliable autonomous driving experience.