Posted 18 Sep 2026 (48 days ago) · Job 15338 · Read from the employer's Greenhouse board, last checked 6 Nov 2026, 00:48 UTC

2027 Summer Intern, MS/PhD, Product Data Science

Waymo · San Francisco, California

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What the posting says

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Employment typeStated
Intern
EducationStated
['postgraduate degree']

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Requirements, each with its sentence from the posting

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  • No requirement has been itemized for this posting yet. The employer’s words are in the full posting below.
Read the full posting as the employer wrote it

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.

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.
Hourly PhD Pay
$85—$85 USD

The posting text is reproduced as the employer wrote it; the index adds nothing to it.