Google DeepMind Research Engineer interview experience

No offer

Hard

Positive

United StatesPosted Nov 2024 · Candidate report, summarized by Dataford

I went through a recruiter screen, and then the technical interview was where things felt genuinely tough.

One version of the process included a math-heavy round with a mix of stats, linear algebra, ML fundamentals, discrete math, and calculus. The second round was a coding interview with LeetCode mediums and hard data-structures-style problems.

Another technical path I experienced had a tough phone-format interview split into two parts with two different interviewers. That round covered math and statistics, ML, and computer science, and it was challenging enough that I didn’t make it past that stage.

Overall, what stood out was the breadth: they weren’t treating “research engineering” as purely

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