Senior Machine Learning Engineer - Perception 3D Segmentation

The Perception team at Zoox is responsible for the robot’s understanding of the world, fusing data from Lidar, Radar, and Cameras to create a unified representation of the environment. In this role, you will contribute to the development of our next-generation 3D occupancy and segmentation networks. You will architect and optimize high-performance deep learning models that generate dense, temporally consistent voxel representations of the driving environment.

This work is critical for enabling our vehicle to navigate complex urban scenarios, handle rare obstacles, and drive safely in tight spaces by providing precise geometry and motion estimates to downstream planners. In this role, you will... Design and implement state-of-the-art multi-modal sensor fusion architectures (Lidar, Camera, Radar) to predict 3D occupancy, semantic segmentation, and flow.

Develop "vision-first" fusion strategies to enhance geometric understanding and reduce dependency on sparse sensor modalities. Engineer temporal processing modules to improve the stability and consistency of predictions over time. Optimize model architectures for real-time on-vehicle inference, balancing high-fidelity range extension with strict latency constraints.

Collaborate with downstream consumers (Tracking, Prediction, Planner) to refine geometric outputs, such as contours and free-space estimations, for complex maneuvering

Qualifications