Senior/Staff Machine Learning Engineer - Generative AI

In this role, you will:

• Define and execute the ML roadmap for synthetic data generation using generative AI, evolving both model and infrastructure to meet the training and evaluation needs of Zoox’s autonomous driving solution.
• Lead the development of generative models from small scale objects to complete scenarios, from research all the way to deployment.
• Design effective model architectures and sophisticated training techniques, leveraging all the inputs from our sensor stack and the overall large scale data we have at Zoox.
• Collaborate with perception, planning, safety, simulation, and systems teams to integrate your models into our offline pipelines.
• Validate and optimize your solutions using real-world driving scenarios, directly contributing to the safety and reliability of Zoox's autonomous system

Qualifications:

• MS or PhD in Computer Science, Machine Learning, or related technical field
• Demonstrated experience architecting, training and deploying large models such as diffusion, flow matching, GANs and/or NeRFs.
• Experience building and maintaining ML training pipelines, including data preprocessing, model training, and evaluation
• Proficiency in Python and ML libraries (PyTorch, NumPy) demonstrated through professional or research projects
• Experience training with large scale datasets (e.g. tens of millions of videos)

Bonus Qualifications:

• Publications in top-tier conferences (CVPR, ICCV, RSS, ICRA)
• Experience with autonomous robotics systems
• Experience implementing 4D Gaussian Splatting