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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong analytical and coding skills in Python and SQL to derive insights from data, with a focus on machine learning, model evaluation, and performance metrics for autonomous vehicles. Capable of collaborating with cross-functional teams to enhance safety and performance through data-driven decision-making.
Highest-signal resume keywords
Proficiency In PythonProficiency In SQLMachine Learning CourseworkData Analysis And VisualizationFamiliarity With Git
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisMachine LearningModel EvaluationStatistical TestingPredictive ModelingBehavior AnalysisPerformance EvaluationSimulation FrameworksSupervised LearningCloud Data Tools
Tools & Technologies
DatabricksSparkDashboardingExperiment DesignNLP
Industry Keywords
Autonomous VehiclesDriving Behavior ClustersMiles-Per-DisengagementSafety-Critical EventsRobotaxi Safety
Tech Stack
Tools & technologiesCloudPythonSparkSQL
About the role
Key responsibilities & impact- 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
- Work on fleet metrics, behavior analysis, and performance evaluation of autonomous vehicles
- Analyze real-world driving data to identify patterns, measure autonomy performance, and inform stack improvements
- Contribute to metrics platforms tracking miles-per-disengagement, driving behavior clusters, and safety-critical events
- Perform data analysis to develop and validate simulation frameworks evaluating autonomous driving software
- Collaborate with Simulation team stakeholders to assess robotaxi safety and comfort performance
- Build performance metrics and conduct in-depth data analyses to support data-driven decisions
Requirements
What you’ll need- 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
- 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 proprietary information they are working on as part of their thesis, published work with their university, or distribute it outside Zoox
- Proficiency in Python and SQL
- Coursework in machine learning, computer vision, or NLP
- Familiarity with Git, unit testing, debugging, and code reviews
- Understanding of supervised learning, model evaluation, dataset bias, and label noise
- Experience with data analysis and visualization
- Experience with Databricks, Spark, cloud data tools, dashboarding, experiment design, or LLMs is a bonus
Benefits
Comp & perks- Hands-on experience with cutting-edge technology
- Mentorship from some of the industry's brightest minds
- Opportunity to make meaningful contributions to real projects