Machine Learning Engineer - 3D Sensor Simulation

📋 Description Design, train, and validate ML models that improve the realism of simulated lidar, radar, and Collaborate with Synthetic Data and HIL Sim teams to integrate 3DGS and NeRF-based 3D Build and curate training datasets from real and simulated sensor data, including GenAI-based data Partner with Sim V&V and Perception engineers to define sensor realism metrics and close the Mentor engineers and interns, and establish best practices for training and deploying ML on Zoox 🎯 Requirements 3+ years of experience developing ML models in Python with PyTorch or TensorFlow Industry experience applying ML to sensor data (lidar, radar, and/or cameras) Solid understanding of customizing, tuning, and validating ML training pipelines 🎁 Benefits Experience with generative techniques such as diffusion, flow matching, or VAEs Experience with 3D reconstruction (3DGS, NeRFs) or differentiable rendering Prior experience developing autonomy in AVs or other robotics and computer vision