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:

As a Waymo Data Science intern, you will work on evaluating the driving quality of the Waymo Driver, with a particular focus on software reliability. This project may involve

• Evaluate and propose improvements to the automatic clustering algorithms for reliability issues;
• Improve importance sampling techniques to maximize discoveries of novel reliability issues;
• Build real-time monitoring of reliability issues in scaled rider-only deployments, esp. focusing on novel regression monitoring during the ramp-up periods of new release candidates.

You have:

• Pursuing PhD in a quantitative field (e.g. Statistics, Mathematics, Physics, Engineering, Economics, Political Science)
• Fluency in Python, basic knowledge of SQL
• Familiarity with foundational statistical concepts (hypothesis testing frameworks, Bayesian methods) and practical ML evaluation

We prefer:

• 3+ years of experience in data wrangling, visualization and data-driven storytelling
• Fluency in SQL
• Prior internship in 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.