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Software EngineerMachine Learning Interview Experience - Washington, District of Columbia

April 1, 2025
Positive ExperienceNo Offer

Process

Interviewed in a 45-minute phone interview for a Software Engineering ML/AI PhD role, focusing on coding.

Solved one algorithmic problem, discussed approach, data structures, and complexity analysis. It was online.

Questions

Finding the shortest path without using some dangerous nodes.

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Interview Statistics

The following metrics were computed from 1 interview experience for the Google Software EngineerMachine Learning role in Washington, District of Columbia.

Success Rate

0%
Pass Rate

Google's interview process for their Software EngineerMachine Learning roles in Washington, District of Columbia is extremely selective, failing the vast majority of engineers.

Experience Rating

Positive100%
Neutral0%
Negative0%

Candidates reported having very good feelings for Google's Software EngineerMachine Learning interview process in Washington, District of Columbia.

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