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.
Finding the shortest path without using some dangerous nodes.
The following metrics were computed from 1 interview experience for the Google Software EngineerMachine Learning role in Washington, District of Columbia.
Google's interview process for their Software EngineerMachine Learning roles in Washington, District of Columbia is extremely selective, failing the vast majority of engineers.
Candidates reported having very good feelings for Google's Software EngineerMachine Learning interview process in Washington, District of Columbia.