Data Science Intern [Summer 2027]

Zoox•Boston, MA

3d•$6,500 - $9,500

About The Position

Zoox’s internship program provides hands-on experience with cutting-edge technology, mentorship, and opportunities to contribute to real projects. Data Science turns Zoox’s driving, fleet, and business data into decisions and automation. The intern may be assigned to Autonomy Software V&V or Core/Domain Data Science. On the Autonomy Software V&V team, the intern will work with fleet metrics, behavior analysis, and autonomous-vehicle performance evaluation. They will analyze real-world driving data to identify patterns, measure autonomy performance, and inform software stack improvements. Work may include contributing to metrics platforms tracking miles-per-disengagement, driving behavior clusters such as PUDO, lane changes, and pullovers, and safety-critical events across development and production service fleets. On the Core/Domain Data Science team, the intern will provide data solutions and domain-specific analytical insights. They may analyze data to develop and validate the simulation framework used to evaluate Zoox’s autonomous-driving software, collaborating with Simulation team stakeholders to understand robotaxi safety and comfort performance. The role provides hands-on experience building performance metrics and conducting in-depth analyses to support data-driven decision-making. The intern will use coding and analytical skills to derive insights that inform decisions and automation, test frameworks and algorithms to improve model performance, and contribute to projects such as drift monitoring, automated model retraining, predictive modeling, similarity search, or statistical testing. This is a full-time, 12-week internship beginning in May or June 2027. The intern must be able to relocate to the Bay Area, California, for the internship.

Requirements

Currently working toward a B.S., M.S., Ph.D., or advanced degree in data science, statistics, computer science, or a related engineering program.
Be in good academic standing.
Expected to graduate between Fall 2027 and Summer 2028.
Be enrolled at an accredited college or university throughout the internship.
Commit to a full-time, 12-week internship beginning in May or June 2027.
Be able to relocate to the Bay Area, California, for the duration of the internship.
Do not use proprietary information encountered during the internship in a thesis, university-published work, or material distributed to anyone outside Zoox.
Proficiency in Python and SQL.
Coursework in machine learning, computer vision, or NLP.
Familiarity with software-engineering practices such as Git, unit testing, debugging, and code reviews.
Understanding of supervised learning, model evaluation, and common sources of dataset bias and label noise.
Experience with data analysis and visualization.
Ability to communicate data clearly to different audiences.

Nice To Haves

Experience with Databricks, Spark, or cloud data tools.
Experience with dashboarding or experiment design.
Experience working with LLMs.

Responsibilities

Use coding and analytical skills to derive insights that inform decisions and automation.
Test new frameworks and algorithms to improve model performance.
Work on projects such as drift monitoring, automated model retraining, predictive modeling, similarity search, or statistical testing.
Analyze real-world driving data to identify patterns, measure autonomy performance, and inform software stack improvements, if assigned to Autonomy Software V&V.
Contribute to metrics platforms tracking fleet performance, driving behavior, and safety-critical events, if assigned to Autonomy Software V&V.
Perform data analysis to develop and validate simulation frameworks for evaluating autonomous-driving software, if assigned to Core/Domain Data Science.
Collaborate with Simulation team stakeholders and build performance metrics and analyses supporting data-driven decisions, if assigned to Core/Domain Data Science.