The Data Science team works on a wide variety of evaluation and modeling problems, including safety evaluation, the simulation technology, driving quality and rider experience. This role works with a variety of teams across the company to inject data science rigor and perspective, and to influence development direction in many of the critical systems in self-driving technology and fleet operations.
As a Data Science intern, you may join one of these Data Science Subteams:
- World Model Eval
- Safety Eval Tech
- Data Science Safety
- Driving Quality Data Science
- Simulation Data Science
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:- 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 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
- Build tools and pipelines that turn one-off analyses into repeatable workflows, partnering with engineering teams to automate data exploration, triage, and reporting
You have:- 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
We prefer:- 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)
General Perks- Help solve challenging problems with a direct impact on the company
- Competitive compensation packages with a housing/relocation bonus (if applicable)
- Medical, dental, and vision insurance
- Fun intern events and networking opportunities
Onsite Perks- Free breakfast, lunch, dinner, and snacks
- Free access to Google shuttles
- Onsite gym
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
