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Salary
≈ $68k – $113k per year (Estimated)
Location
In office (San Francisco, Mountain View)
Seniority
Intern
Visa
H-1B filings in 12 months: 331 · green card filings: 28
Employment
Internship

Confirmed on the employer's own hiring board on Oct 13, 2026. First seen by Alion on Sep 27, 2026. Waymo scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Waymo is an American autonomous driving company that began as the Google self-driving car project in 2009 and became a standalone Alphabet subsidiary in 2016. It operates the largest fully driverless commercial ride-hailing service in the world through the Waymo One app, carrying paying passengers with no human in the vehicle across Phoenix, San Francisco, Los Angeles, Austin and an expanding list of cities. Headquartered in Mountain View, California, the company builds its own sensor suite and the Waymo Driver software stack, integrates them into vehicles from partners such as Jaguar, Zeekr and Hyundai, and also develops autonomous trucking technology.

Join Waymo, a leader in self-driving technology, as a Data Science Intern for the summer of 2027. In this role, you will work on a variety of evaluation and modeling problems, including safety evaluation, simulation technology, driving quality, and rider experience. You will collaborate with various teams across the company to inject data science rigor and influence development direction in critical systems. This is a hybrid onsite internship position with numerous benefits, including medical, dental, and vision insurance, competitive compensation, and opportunities for professional growth.

Missions

  • Analyser de grandes quantités de données routières et de simulation pour construire des métriques, des modèles statistiques et des caractéristiques prédictives.
  • Développer et valider des méthodologies statistiques / ML pour évaluer les modèles de fond à grande échelle et tirer des conclusions fiables.
  • Construire des outils et des pipelines qui transforment les analyses ponctuelles en flux de travail répétables, en partenariat avec les équipes d'ingénierie.

Profil recherché

- Proficiency in programming with Python (or R), including data manipulation, wrangling, and visualization

- Pursuing PhD in a quantitative field (e.g. Statistics, Computer Science, Mathematics, Physics, Engineering, Computational Social Science)

- Strong statistical theory foundation

- Experience in machine learning applications and complex data analysis, or familiarity with SQL and/or C/C++

- Experience in processing and interpreting high dimensional data such as images/videos

- Demonstrated research capabilities through publications and a strong understanding of statistical methodologies and foundation models

- Prior internship experience (Autonomous Driving and generative AI preferred)

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