In this role, you will:
- Design and build ML systems that learn from expert human driving data to model human-like driving behaviors.
- Develop evaluation methods that measure the human-likeness of autonomous driving.
- Develop AutoML systems to optimize autonomous driving software and improve alignment with expert human driving
- Work with large-scale datasets and distributed training pipelines to deliver production-ready ML solutions.
- Collaborate cross-functionally with planner, simulation, and infrastructure teams to drive measurable improvements in vehicle behavior.
Qualifications:
- BS/MS/PhD in Machine Learning, Computer Science or equivalent experience
- Proficiency in Python and PyTorch, with experience building ML systems
- Background in training, evaluating, and deploying ML models
- Comfortable working with large datasets and distributed compute platforms
Top Skills
What We Do
Zoox is an autonomous mobility company that was founded to provide a safer, cleaner, and more enjoyable future on the road. To achieve that goal, the company has spent the past 10 years creating a purpose-built robotaxi that gives the world a better way to ride.
Why Work With Us
At Zoox, we are working to solve one of the greatest technological challenges of our generation.
From the beginning, we have been focused on our goal of reimagining transportation from the ground up. We are a mission-driven community of innovators working together to create a safer, cleaner, and more enjoyable future on the road.
Gallery
