Senior/ Staff Machine Learning Engineer - Generative AI
Foster City, CA
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Zoox
Zoox is a purpose-built autonomous vehicle designed for riders, not drivers. Learn more about the Zoox robotaxi and the future of ride-hailing.
The Perception team at Zoox is at the forefront of leveraging GenAI to create synthetic data, unlocking scalable training and evaluation for our autonomous system's perception and entire stack. As a Generative AI Engineer, you will develop and train cutting-edge models for sensor-level scenario generation, utilizing world models and radiance fields techniques with large-scale proprietary data. This role directly impacts the productivity, safety, and capabilities of Zoox's autonomous system by validating algorithms in real-world conditions.
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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Tags: Architecture Autonomous Driving Computer Science GANs Generative AI Generative modeling Machine Learning Model training NeRFs NumPy PhD Pipelines Python PyTorch Research Robotics
Perks/benefits: Conferences
Region:
North America
Country:
United States
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