2027 Summer Intern, PhD, Product Data Science

Waymo LLC
San Francisco, CA, United States
1 day ago
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Role details

Contract type
Internship / Graduate position
Employment type
Full-time (> 32 hours)
Experience level
Internship
Compensation
$176,800.0
Working hours
Regular working hours

Tech stack

Python (Programming Language) Machine Learning SQL Databases

Job description

  • 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

Requirements

  • 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

Benefits & conditions

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 PhD Pay $85-$85 USD

About the company

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!

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:14 min

Evolution of distributed SQL database architectures

Wei Hu Wei Hu · World Congress 2024

2:36 min

Applying supervised machine learning for practical rule extraction

Katja Träumner

1:17 min

Fabricated software updates for Python alongside lunar quarantine proposals

Chris Heilmann +1 · LIVE

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

1:36 min

Evolution from key-value stores to distributed SQL

Wei Hu Wei Hu · World Congress 2025

12:34 min

Evaluating humanoid robots and autonomous self-driving vehicles

Chris Heilmann +2 · LIVE

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