Google DeepMind Research Engineer interview experience

No offer

Hard

Positive

United StatesPosted Sep 2023 · Candidate report, summarized by Dataford

My interview started with the usual recruiter-to-technical flow and then moved into a set of rounds that felt centered on ML-flavored algorithms.

The coding was essentially standard LeetCode, but framed through ML and probabilistic contexts. There was also an ML system design portion that felt more ML focused than software-system focused.

What threw me off was that I couldn’t gather any feedback during or after the rounds. The way the process played out left me feeling like interviewing with them could be a burden—mostly because it was hard to read where I stood and what to adjust.

I didn’t get an offer. The difficulty felt manageable in terms of the raw topics, but the lack of feedback and the overall opacity made the process

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