
Senior/ Staff Machine Learning Engineer - Generative AI bei Zoox
Zoox · Foster City, Vereinigte Staaten Von Amerika
- Senior
- Optionales Büro in Foster City
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
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