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ML SWE Interview Experience - United States

April 20, 2024
Negative ExperienceNo Offer

Process

The interview process consisted of:

  • 1 round of Machine Learning
  • 2 rounds of LeetCode
  • 1 round of Behavioral

The technical rounds involved data structures like dictionaries and trees. The Machine Learning interview focused on model design. The Behavioral round assessed past experience.

Overall, it was a very standard process, but they take a long time to provide feedback. They also awkwardly call for rejections.

Questions

Describe how to design a video recommendation system.

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Interview Statistics

The following metrics were computed from 1 interview experience for the Google ML SWE role in United States.

Success Rate

0%
Pass Rate

Google's interview process for their ML SWE roles in the United States is extremely selective, failing the vast majority of engineers.

Experience Rating

Positive0%
Neutral0%
Negative100%

Candidates reported having very negative feelings for Google's ML SWE interview process in United States.

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