Zoox

Fully electric autonomous ride-hailing service platform

Data Scientist Intern

Data SciencePosted on Nov 7

Internship · Summer 2027

About the Job

Requirements

Currently working toward a Bachelor of Science, Master of Science, Ph.D., or advanced degree in data science, statistics, computer science, or a related engineering program.
Maintain good academic standing.
Expected to graduate between Fall 2027 and Summer 2028 and remain 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 from the internship in a thesis, published university work, or work distributed outside Zoox.
Demonstrate proficiency in Python and SQL.
Have coursework in machine learning, computer vision, or natural language processing.
Be familiar with software-engineering practices, including Git, unit testing, debugging, and code reviews.
Understand supervised learning, model evaluation, and common sources of dataset bias and label noise.
Have experience with data analysis and visualization.
Be able to communicate data clearly to different audiences.

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 autonomous-vehicle performance, and inform software-stack improvements for the Autonomy Software V&V team.
Contribute to metrics platforms tracking miles per disengagement, driving behavior clusters such as PUDO, lane changes, and pullovers, and safety-critical events across L3 development and production-service fleets.
Perform data analysis to develop and validate the simulation framework used to evaluate autonomous-driving software.
Collaborate with Simulation stakeholders to assess robotaxi safety and comfort performance.
Build performance metrics and conduct in-depth data analyses to support data-driven decision-making.

Desired Qualifications

Have experience with Databricks, Spark, or cloud data tools.
Have experience with dashboarding or experiment design.
Have experience working with large language models.

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.

In this Role, You Will...

Use coding and analytical skills to derive insights that inform decisions and automation
Test new frameworks and algorithms to improve model performance
Work on a project such as drift monitoring, automated model retraining, predictive modeling, similarity search or statistical testing

Internship Requirements

Currently working towards a B.S., M.S., Ph.D., or advanced degree in data science, statistics, computer science, or a related engineering program
Good academic standing
Expected to graduate between Fall 2027 and Summer 2028, and enrolled at an accredited college or university throughout the internship
Able to commit to a full-time, 12-week internship beginning in May/June 2027
Ability to relocate to the Bay Area, California, for the duration of the internship
Interns at Zoox may not use any proprietary information they are working on as part of their thesis, any published work with their university, or to be distributed to anyone outside of Zoox

Qualifications

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

Bonus Qualifications

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

Compensation

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.

About Zoox

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.

Accommodations

If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.

A Final Note:

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.

About the Company

Zoox

Fully electric autonomous ride-hailing service platform

Zoox designs and operates an autonomous ride-hailing service built around a purpose-built, fully electric vehicle designed specifically for autonomous operation. The vehicle uses advanced sensors, cameras, and AI to navigate complex urban environments, offering a four-passenger interior for comfort. Unlike competitors that retrofit existing cars, Zoox engineers both the vehicle and the service from the ground up, enabling optimized safety, efficiency, and passenger experience through integrated software that optimizes routing and reduces wait times. The company emphasizes safety through extensive testing and regulatory collaboration, and sustainability via electric mobility. The ultimate goal is to provide a smarter, safer, and more efficient urban transportation system that improves city life while reducing emissions.

Company size: 5,001-10,000
Company stage: Acquired
Total funding: $1.2B
Headquarters: Menlo Park, CA
Founded: 2014

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