The 3D Simulation group at Zoox is looking for machine learning engineers to bring the latest research in 3D vision to accelerate autonomy by blurring the line between simulation and reality. Our ML group is working on generating rich and diverse 3D environments, humans, and environmental conditions using reconstruction and generative models. You will have access to the best sensor data in the world and an incredible infrastructure for testing and validation to bring new algorithms into our robotics stack.
Build and operate distributed infrastructure for large-scale LLM training, reinforcement learning, and inference, improving researcher iteration speed, GPU utilization, system performance, and training reliability.
Lead the development and deployment of production-grade machine learning systems, shaping architecture and engineering standards while advising clients and mentoring engineers.
Build and scale the machine learning platform behind risk decisioning, developing reliable model and data infrastructure that helps teams deploy, monitor, and improve models protecting transactions across the platform.
Own the end-to-end development of in-cabin vision models, from data curation and training to evaluation and deployment, supporting passenger understanding, rider safety, and reliable robotaxi operations.
Lead the design and production deployment of agentic AI systems, translating advances in LLM research into scalable, secure clinical applications and guiding evaluation, data, and engineering practices.
