About the role#
This is a full-time, paid internship for Summer 2027. You will work with the Systems Engineering team to validate vehicle performance through data analysis and experimental design.
What you'll do#
- Develop, implement, and refine Bayesian forecasting models to interpret small-sample test results.
- Build and optimize predictive analytics models to monitor fleet operations and analyze vehicle behavior.
- Collaborate with Test Engineers to design experimental procedures on closed courses and in simulation environments.
- Extract, process, and analyze large-scale, high-dimensional datasets from vehicle logs and depot operations using Python and SQL.
- Partner with Systems, Software, and Product teams to determine key performance characteristics for model coverage.
What you'll need#
- Currently enrolled in a graduate program (Master's or PhD) in Data Science, Statistics, Operations Research, Civil Engineering, or a related quantitative field.
- Strong foundation in predictive analytics, Bayesian modeling, and statistical inference.
- Proficiency in writing production-quality Python and strong SQL skills for querying large-scale databases.
- Ability to present complex quantitative results and statistical limitations to non-technical stakeholders.
- Preferred: Academic or research experience in traffic flow theory, intelligent transportation systems, fleet routing, or urban mobility.
- Preferred: Familiarity with autonomous vehicle technology, simulation-based testing (SIL/HIL), or systems engineering principles.
- Preferred: Experience with survival analysis, probability modeling, or extreme value theory applied to safety-critical systems.
Location & details#
- Location: San Francisco, California.
- Work modality: Hybrid.
- Compensation: $70 per hour for Master's students and $85 per hour for PhD students.
About Waymo
Waymo is a technology company that develops automated driving systems. It focuses on mobility and road safety through its Waymo Driver technology. The firm operates as a private organization and employs between 1,001 and 5,000 people. It was founded in 2009 and maintains its headquarters in Mountain View, California.
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