Job Description
Zoox’s internship program provides hands-on experiences with state of the art technology, mentorship from some of the industry's brightest minds, and the opportunity to play a part in our success. Internships at Zoox are reserved for those who demonstrate outstanding academic performance, activities outside their course work, aptitude, curiosity, and a passion for Zoox's mission.
As a Data Scientist Intern, you may be assigned to one of the following teams:
On the Autonomy Software V&V team, 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.
On the Core Data Science team, 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.
Requirements:
- Currently working towards a B.S., M.S., Ph.D., or advanced degree in a relevant Statistics, Computer Science, Data Science or related field
- Must be returning to school to continue your education upon completing this internship
- Good academic standing
- Able to commit to a 12-week internship beginning in May or June of 2026
- At least one previous industry internship, co-op, or project completed in a relevant area
- Ability to relocate to the Bay Area, California or Boston 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 (It’s helpful if you meet a majority of the following qualifications, but it isn’t a requirement):
- Strong programming skills in Python
- Proficiency in SQL
- Experience with data analysis and processing libraries such as pandas and NumPy
- Experience with statistical analysis and data visualization
- Understanding of experimental design and A/B testing
- Strong data modeling skills
- Good experience with data warehouse platforms (e.g. Amazon Redshift, Google BigQuery, Snowflake, …) and distributed data processing platforms (e.g. Spark, Delta lake)
Bonus Qualifications:
- Experience with autonomous vehicle metrics or robotics data
- Knowledge of causal inference and time-series analysis
- Familiarity with Databricks, Spark, or distributed computing
- Experience building dashboards and data visualizations
- Understanding of autonomous driving concepts (disengagements, ODD, safety metrics)
- Publications or coursework in robotics, autonomous systems, or related areas
Compensation:
The monthly salary range for this position is $5,500 to $9,500. Compensation will vary based on geographic location and level of education. Additional benefits may include medical insurance, and a housing stipend (relocation assistance will be offered based on eligibility).
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.
Requirements
Requirements:
- Currently working towards a B.S., M.S., Ph.D., or advanced degree in a relevant Statistics, Computer Science, Data Science or related field
- Must be returning to school to continue your education upon completing this internship
- Good academic standing
- Able to commit to a 12-week internship beginning in May or June of 2026
- At least one previous industry internship, co-op, or project completed in a relevant area
- Ability to relocate to the Bay Area, California or Boston 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 (It’s helpful if you meet a majority of the following qualifications, but it isn’t a requirement):
- Strong programming skills in Python
- Proficiency in SQL
- Experience with data analysis and processing libraries such as pandas and NumPy
- Experience with statistical analysis and data visualization
- Understanding of experimental design and A/B testing
- Strong data modeling skills
- Good experience with data warehouse platforms (e.g. Amazon Redshift, Google BigQuery, Snowflake, …) and distributed data processing platforms (e.g. Spark, Delta lake)
Bonus Qualifications:
- Experience with autonomous vehicle metrics or robotics data
- Knowledge of causal inference and time-series analysis
- Familiarity with Databricks, Spark, or distributed computing
- Experience building dashboards and data visualizations
- Understanding of autonomous driving concepts (disengagements, ODD, safety metrics)
- Publications or coursework in robotics, autonomous systems, or related areas
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