2026 Summer Intern, PhD, Product Data Science presso Waymo
Waymo · Mountain View, Stati Uniti d'America · Hybrid
- Ufficio in Mountain View
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.
In this internship, you’ll:
- Partner with Data Science, Engineering, Product and Operations teams to improve supply efficiency and accelerate Waymo’s growth.
- Build sophisticated ML models and use causal methods to understand and forecast fleet conditions and rider behavior.
- Have the opportunity to deploy your work into our production systems to enable continuous decision making.
At a minimum we’d like you to have:
- Actively in pursuit of PhD in a quantitative field.
- Hands-on experience coding experience with Python and SQL.
- Statistics and Machine Learning knowledge.
- Ability to structure and solve ambiguous problems.
- Demonstrated experience communicating and collaborating with different stakeholders.
It’s preferred if you have:
- Experience in supply optimization modeling and implementation (e.g. solver packages) and/or causal inference methods (e.g. causal forests, DoubleML, propensity matching).
- Demonstrated proficiency of Python/SQL/R data analysis libraries and packages.
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 (These perks will only be applicable if the internship is on site)
- 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.
At Waymo, we don’t just accept differences - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know.
