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Waymo

2027 Summer Intern, MS/PhD, Product Data Science

Waymo is hiring a 2027 Summer Intern, MS/PhD, Product Data Science in San Francisco, United States. It pays $70/hr and Level rates it ; you can apply on Waymo.

Level's read on this job

  • On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include Python, SQL and causal inference.
  • Level classifies it as an internship.
  • Level lists 377 other open roles at Waymo.

AI in this role

Improve causal and predictive pricing models using machine learning and econometrics approaches in an internship role.

PythonSQL
causal-inferencepredictive-modelingeconometricsmachine-learning

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 USDThe 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

How we rate this

2027 Summer Intern, MS/PhD, Product Data Science at Waymo rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Causal InferencePredictive ModelingEconometricsMachine learningPythonSQL

Questions you could be asked

  1. Tell me about a project where causal inference was part of your work. What did you do?
  2. Tell me about a project where predictive modeling was part of your work. What did you do?
  3. Tell me about a project where econometrics was part of your work. What did you do?
  4. Tell me about a project where machine learning was part of your work. What did you do?
  5. Walk me through how you've used Python in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Causal Inference, Predictive Modeling, Econometrics, Machine learning, and Python. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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