Analyze autonomous vehicle, fleet, and business data to develop metrics, evaluate model and simulation performance, identify behavioral patterns, and support data-driven decisions. Projects may include drift monitoring, automated retraining, predictive modeling, similarity search, and statistical testing. The intern will use Python and SQL, apply machine learning and analytical methods, collaborate with simulation and autonomy teams, and communicate findings to varied audiences.
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.
Follow us on LinkedIn
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.
Zoox Boston, Massachusetts, USA Office
100 Summer Street, Boston, MA, United States, 02110
Similar Jobs
Consumer Web • Gaming • Mobile • News + Entertainment • Software
Data Science Interns will support the development, deployment, and operation of machine learning solutions in production systems. They will contribute to model development, engineering design, scalable deployment, internal R&D, and projects involving recommendation engines, fraud detection, and marketing optimization. Interns will collaborate with experienced data science and machine learning engineers and receive mentorship while learning end-to-end workflows.
Top Skills:
GitMachine LearningPython
2 Months Ago
Aerospace • Artificial Intelligence • Cloud • Machine Learning • Software • Cybersecurity • Defense
Summer intern assisting with IT solution design and implementation, supporting cybersecurity initiatives through security protocol analysis, and collaborating with data science teams to analyze data and generate actionable insights. The role offers hands-on experience, mentorship, and professional development within Honeywell Aerospace. Candidates must remain enrolled in a relevant degree program, maintain at least a 3.0 GPA, and meet U.S. person requirements.
Top Skills:
CybersecurityData ScienceInformation Technology
Aerospace • Artificial Intelligence • Cloud • Machine Learning • Software • Cybersecurity • Defense
Summer 2027 interns will support IT solution design, cybersecurity initiatives, and data science projects at Honeywell Aerospace. Responsibilities include implementing business-focused IT solutions, analyzing security protocols and recommending improvements, and collaborating with data science teams to generate actionable insights. Interns receive hands-on experience, mentorship, professional development, relocation benefits, and short-term housing when eligible. The role is available at multiple U.S. locations.
Top Skills:
CybersecurityData ScienceInformation Technology
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
