Zoox is looking to solve the problem of evaluating and improving autonomous driving behaviors by learning from expert human drivers to ensure safe, comfortable, and natural driving experiences for riders.
Requirements
- 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
Responsibilities
- 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.
Other
- BS/MS/PhD in Machine Learning, Computer Science or equivalent experience
- If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.
- You do not need to match every listed expectation to apply for this position.
