27d ago
$70 — $70 USD/hr

2027 Summer Intern, MS/PhD, Product Data Science

United StatesUnited States·San Franciscoentry
Data ScienceOtherSummer InternData & AI
4 views0 saves0 applied

Quick Summary

Overview

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,

Technical Tools
Data ScienceOtherSummer InternData & AI

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!

 

  • 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 

 

  • Currently enrolled in a PhD program
  • Causal inference and/or econometrics expertise
  • Predictive modeling experience
  • Experience in Python and SQL
  • 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

Location & Eligibility

Where is the job
San Francisco, United States
On-site at the office
Who can apply
US

About this job

Pay per year
≈ $145,600 a year
27% below the $200,000 median for Data Science jobs on Jobera (792 salaries).
Who can apply
United States
Posted
27 days ago
Employer
has 371 open jobs on Jobera in 8 countries.

Listing Details

Posted
September 18, 2026
First seen
September 20, 2026
Last seen
October 16, 2026

Posting Health

Days active
25
Repost count
0
Trust Level
42%
Scored at
October 16, 2026

Signal breakdown

freshnesssource trustcontent trustemployer trust

Waymo is an autonomous driving technology company with a mission to make transportation safe and accessible through self-driving solutions.

Employees
2,500
Founded
2016
Domain
View company profile
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2027 Summer Intern, MS/PhD, Product Data Science$70 — $70 USD