Machine Learning Engineer - Autotuning - Zoox

Job Title: Machine Learning Engineer - Autotuning
Job Location: Foster City, CA
Job Listing URL: https://jobs.lever.co/zoox/8c74ba17-df7e-4f5f-8cdd-c76e2d606bd6
Job Description: Zoox is looking for machine learning engineers to help build systems to evaluate and improve autonomous driving behaviors by learning from expert human drivers. Our team develops core technologies to benchmark our vehicles against expert human driving and tune driving software toward more human-like behaviors. These systems are critical for ensuring safe, comfortable, and natural driving experiences for our riders.
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

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