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Zoox’s Data Science Internship offers hands-on work with autonomy software metrics, data-driven insights, and model evaluation on real projects. You will join one of several teams, contributing to data solutions, performance metrics, and decision support for Zoox’s robotaxi initiatives.
The internship runs 12 weeks, with a May/June 2027 start, requires relocation to the Bay Area, and provides medical insurance and a relocation stipend. Strong academic performance and curiosity are expected.
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.
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:
The monthly salary range for this position is $6,500 to $9,500. Compensation will vary based on geographic location and level of education. Additional benefits may include medical insurance and a relocation stipend.
Zoox is developing the first ground‑up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility‑as‑a‑service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution‑oriented team.
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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. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.