2027 Summer Intern, PhD, Data Science

Responsibilities

• Safety Eval Tech
• Simulation Data Science
• Build tools and pipelines that turn one-off analyses into repeatable workflows, partnering with engineering teams to automate data exploration, triage, and reporting

Requirements

• Pursuing PhD in a quantitative field (e.g. Statistics, Computer Science, Mathematics, Physics, Engineering, Computational Social Science)
• Proficiency in programming with Python (or R), including data manipulation, wrangling, and visualization
• Strong statistical theory foundation

Preferred

• Experience in machine learning applications and complex data analysis, or familiarity with SQL and/or C/C++
• Experience in processing and interpreting high dimensional data such as images/videos
• Demonstrated research capabilities through publications and a strong understanding of statistical methodologies and foundation models
• Prior internship experience (Autonomous Driving and generative AI preferred)

In this internship, you might

Analyze large-scale on-road and simulation data to build metrics, statistical models, and predictive features that quantify the Waymo Driver's safety and driving quality performance

Develop and enable rigorous evaluation of the Waymo Driver through curating a principled portfolio of tools to assess and inform software development at scale

Inform development work on the Waymo Driver by leveraging quantitative analysis to provide early behavioral evaluation of software releases and provide actionable insights for Waymo’s expansion efforts into new territories and hardware platforms

Take challenging open-ended research problems and translate them into concrete solutions or prototypes in an empirical setting (e.g., publications, open-source project contribution, internal tools)

Develop and validate statistical / ML methodology — estimation, uncertainty quantification, sampling, and extrapolation — to use or evaluate large-scale foundation models and draw reliable conclusions about rare and critical events from limited data

We prefer

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