Process
I applied through a recruiter. The process took 3 weeks.
It was a two-stage online interview. The first round was just with the recruiter/HR. The second round was the technical one, which took 2 hours. The first hour was a theoretical interview, then the next hour with a different interviewer was the practical round.
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Interview Statistics
The following metrics were computed from 1 interview experience for the Waymo Machine Learning PhD Intern role.
Success Rate
0%
Pass Rate
Waymo's interview process for their Machine Learning PhD Intern roles is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive100%
Neutral0%
Negative0%
Candidates reported having very good feelings for Waymo's Machine Learning PhD Intern interview process.
Waymo Work Experiences
5.0
Interesting Work
Engineer • Current Employee
San Francisco, CA
July 27, 2026
Pros: Interesting work and passionate co-workers.
Cons: Sometimes it is a lot of work.
4.0
Growth But Toxic Politics
Software Engineer • Current Employee
Mountain View, California, United States
January 22, 2024
Pros: Good for growth; lots of experienced people to learn from.
Cons: Very political. Business prospects are very uncertain, and the company pivots too often. Very tough and hard work with low morale.
2.0
Good people, poor management
Senior Software Engineer • Current Employee
March 8, 2023
Pros: Most people are smart and nice. Good mission. Google tech stack.
Cons: Many good people managers left the company over the years, whereas some not-so-good ones stayed.
- 5.0Interesting WorkEngineer • Current EmployeeSan Francisco, CAJuly 27, 2026Pros: Interesting work and passionate co-workers.Cons: Sometimes it is a lot of work.
- 4.0Growth But Toxic PoliticsSoftware Engineer • Current EmployeeMountain View, California, United StatesJanuary 22, 2024Pros: Good for growth; lots of experienced people to learn from.Cons: Very political. Business prospects are very uncertain, and the company pivots too often. Very tough and hard work with low morale.
- 2.0Good people, poor managementSenior Software Engineer • Current EmployeeMarch 8, 2023Pros: Most people are smart and nice. Good mission. Google tech stack.Cons: Many good people managers left the company over the years, whereas some not-so-good ones stayed.
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