2027 Summer Intern, PhD, Product Data Science

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. Waymo’s Product Data Science team works cross-functionally with Engineering, Product and Operations to help the company make the most informed decisions using data.

Our team collaborates on high-impact projects across the company — from driving quality and operational efficiency to market analysis and rider satisfaction scores — we help to safely and efficiently scale the Waymo Driver.

We are data-driven, curious, open-minded, and adapt quickly to new information. 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: • Improve causal, predictive pricing models through additional feature granularity, properly regularized • Improve pricing models through enhanced time series estimation • Improve the quantification of loss resulting from pricing model mispredictions You have: • Currently enrolled in a PhD program • Causal inference and/or econometrics expertise • Predictive modeling experience • Experience in Python and SQL We prefer: • Working with Causal Machine Learning approaches (e.

g. Double Machine Learning) • Previous experience at ride-hailing or marketplace companies 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. The expected hourly rate for this full-time position is listed below.

Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements. Hourly Masters Pay $70—$70 USD The expected hourly rate for this full-time position is listed below.

Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements.