Data Scientist, Autonomy Behavior Monitoring

• Design, develop, and implement quantitative behavior metrics that assess AV performance across diverse driving scenarios and geofences
• Build and maintain data pipelines and dashboards to track simulation and fleet metrics across geographies and software versions
• Identify performance gaps and regressions by analyzing large-scale vehicle logs and simulation data
• Drive the definition of metric thresholds and acceptance criteria to support geofence expansion decisions

This role directly contributes to the safe and scalable deployment of autonomous vehicles, enabling a future of sustainable, efficient, and accessible urban mobility.

• B.S. or M.S. in Computer Science, Data Science, Engineering, or a related quantitative field (or equivalent experience)
• 2+ years of experience in data science, with a focus on metric design and development or performance evaluation
• Strong proficiency in Python in production environments with standard repo practices
• Experience working with time-series or sensor data; familiarity with robotics or AV data is a plus

Compensation and benefits are competitive, though specific details are not provided in the posting. Zoox offers a dynamic work environment at the intersection of robotics, machine learning, and design.

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market, aiming to provide the next generation of mobility-as-a-service in urban environments.