Machine Learning Engineer - Scene Understanding

The Perception Scene Understanding team at Zoox builds the high-performance reasoning engines that allow our autonomous vehicles to navigate complex urban environments. We translate sensor data and detected objects into deep semantic understanding, ensuring our robots make human-level decisions in real-time. We are seeking engineers passionate about the intersection of robotics and cutting-edge AI. In this role, you will develop next-generation algorithms and deploy production-grade software directly to our fleet. You will tackle the inherent unpredictability of urban driving—including road closures, occlusions, dynamic traffic controls, and abnormal traffic patterns—ensuring our vehicles remain resilient in the face of unexpected hazards. As an engineer on the Scene Understanding team, you will develop and deploy advanced machine learning models that interpret the robot’s surroundings to identify hazards and enforce driving restrictions. Your work will be pivotal in resolving unstructured scenarios, ensuring safe navigation through complex or restricted zones. You will optimize models for real-time inference on our vehicle hardware and collaborate closely with teams—including Localization, Perception, Prediction, and Planning—to deliver a seamless, safe, and reliable experience for our riders.