Process
I had to clear the 'base' Google interview even coming out of graduate school.
I had:
- An ML domain interview
- 3 coding interviews
- A behavioral interview
All 3 coding interviews involved very small coding problems, basically straight out of the type of problems you'd find in "Cracking the Coding Interview."
Questions
Q: Given the egos you may have worked with in academia, describe a time you worked with someone who is difficult to work with.
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Interview Statistics
The following metrics were computed from 17 interview experiences for the Google Machine Learning Engineer role in United States.
Success Rate
Google's interview process for their Machine Learning Engineer roles in the United States is extremely selective, failing the vast majority of engineers.
Experience Rating
Candidates reported having good feelings for Google's Machine Learning Engineer interview process in United States.
Google Work Experiences
- 5.0Good work-life environmentMachine Learning Engineer • Current EmployeeSeptember 6, 2022Pros: It's Google, so that's the biggest pro.Cons: There are no cons for this job role.
- 5.0Great Team, High StressMachine Learning Engineer • Former EmployeeSydney, New South Wales, AustraliaMarch 22, 2024Pros: Good co-workers, good environment, good salary.Cons: Stressful and bad work-life balance.
- 5.0Great Company, Long HoursMachine Learning Engineer • Current EmployeeLos Angeles, California, United StatesDecember 23, 2023Pros: Good company to work in.Cons: Expect some days with long hours.
Google Interview Questions
