Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
The Data Science team works on a wide variety of evaluation and modeling problems, including safety evaluation, the simulation technology, driving quality and rider experience. This role works with a variety of teams across the company to inject data science rigor and perspective, and to influence development direction in many of the critical systems in self-driving technology and fleet operations.
As a Data Science intern, you may join one of these Data Science Subteams:
- World Model Eval
- Safety Eval Tech
- Data Science Safety
- Driving Quality Data Science
- Simulation Data Science
Waymo interns partner with leaders in the industry on projects that create impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship!
You will:
- Analyze large-scale on-road and simulation data to build metrics, statistical models, and predictive features that quantify the Waymo Driver's safety and driving quality performance
- Develop and validate statistical / ML methodology — estimation, uncertainty quantification, sampling, and extrapolation — to use or evaluate large-scale foundation models and draw reliable conclusions about rare and critical events from limited data
- Build tools and pipelines that turn one-off analyses into repeatable workflows, partnering with engineering teams to automate data exploration, triage, and reporting
You have:
- Pursuing PhD in a quantitative field (e.g. Statistics, Computer Science, Mathematics, Physics, Engineering, Computational Social Science)
- Proficiency in programming with Python (or R), including data manipulation, wrangling, and visualization
- Strong statistical theory foundation
We prefer:
- 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)
- Help solve challenging problems with a direct impact on the company
- Competitive compensation packages with a housing/relocation bonus (if applicable)
- Medical, dental, and vision insurance
- Fun intern events and networking opportunities
Onsite Perks
- Free breakfast, lunch, dinner, and snacks
- Free access to Google shuttles
- Onsite gym
Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in.
Skills Required
- Pursuing a PhD in a quantitative field such as Statistics, Computer Science, Mathematics, Physics, Engineering, or Computational Social Science
- Proficiency in Python or R, including data manipulation, wrangling, and visualization
- Strong foundation in statistical theory
- Experience in machine learning applications and complex data analysis
- Familiarity with SQL and/or C/C++
- Experience processing and interpreting high-dimensional data such as images or videos
- Demonstrated research capabilities through publications
- Strong understanding of statistical methodologies and foundation models
- Prior internship experience, preferably in autonomous driving or generative AI
Waymo Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Waymo and has not been reviewed or approved by Waymo.
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Fair & Transparent Compensation — Pay is considered strong for full‑time technical roles, aligning with top‑tier AV/Big Tech benchmarks. Employer materials also emphasize competitive pay with eligibility for bonuses and equity as part of total rewards.
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Healthcare Strength — Coverage spans medical, dental, vision, mental‑health resources, onsite wellness centers, and counseling, with specialized programs such as menopause and transgender medical advocacy. Dependents are included, indicating depth across core health needs.
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Parental & Family Support — Offerings include fertility and family‑forming assistance, parental and baby‑bonding leave, caregiver and elder‑care support, and backup childcare. These programs are positioned to support families through multiple life stages.
Waymo Insights
What We Do
Waymo is an autonomous driving technology company with a mission to make it safe and easy for people and things to move around. With the Waymo Driver, we can improve the world’s mobility while saving thousands of lives. Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com to check out our official job listings.
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