Data Science Intern [Summer 2027]
Zoox · Foster City, CA
Posted November 6, 2026
AI Summary
Zoox is seeking a Data Science Intern for a 12-week summer 2027 program in Foster City, CA, to analyze autonomous vehicle fleet and driving data. Interns may work on autonomy performance metrics (miles-per-disengagement, driving behavior, safety-critical events) or on simulation framework validation and robotaxi safety/comfort analysis, with projects such as drift monitoring, predictive modeling, or statistical testing.
Job Description
About Our Internship Program
Zoox's internship program offers hands-on experience with cutting-edge technology, mentorship from some of the industry's brightest minds, and the opportunity to make meaningful contributions to real projects. We seek interns who demonstrate strong academic performance, engagement beyond the classroom, intellectual curiosity, and a genuine interest in Zoox's mission.
Job Description
Data Science turns Zoox's driving, fleet and business data into decisions and automation. As a Data Scientist Intern, you may be assigned to one of the following teams:
- Autonomy Software V&V: You will work on fleet metrics, behavior analysis, and performance evaluation of our autonomous vehicles. Analyze real-world driving data to identify patterns, measure autonomy performance, and inform stack improvements. Contribute to metrics platforms that track miles-per-disengagement, driving behavior clusters (PUDO, lane changes, pullovers), and safety-critical events across our L3 development and production service fleets.
- Core/Domain Data Science: You will provide data solutions to deliver domain-specific analytical insights. In this role, you will have the opportunity to perform data analysis to develop and validate the simulation framework evaluating Zoox’s autonomous driving software. You collaborate with key stakeholders in the Simulation team to gain insight into the safety and comfort performance of our robotaxi. This internship will provide you with hands-on experience in building performance metrics and conducting in-depth data analyses, contributing to data-driven decision-making within the cutting-edge field of autonomous vehicles.
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