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Machine Learning Engineer Interview Experience - London, United Kingdom

January 1, 2025
Negative ExperienceNo Offer

Process

Jumping directly into LeetCode-style questions after less than 20 seconds.

No introductions, no questions about profile, or anything else.

I don't come from a Computer Science educational background, but an engineering one (research with a PhD in engineering). Therefore, these questions seem to be targeted to people with a Computer Science background, independently of whether you are applying for a Software Engineering position or a Data Science/ML position.

Interviewer friendly.

Questions were interesting to think about (as an academic exercise or a puzzle), but not sure if very practical for the job.

They were difficult to solve on the spot if you have never practiced LeetCode-style questions, don't have a Computer Science background, and are not familiar with the process of Meta/FAANG interviews (apparently, it is a BIG thing to solve these coding questions, which I didn't know).

Seems like a process that you could hack by learning how to solve these puzzles, but you won't be able to enter if you don't know how to do them, independently of what you are going to do.

Questions

Questions regarding:

  • Binary Trees
  • Sparse Matrix computational optimisation.

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Interview Statistics

The following metrics were computed from 26 interview experiences for the Meta Machine Learning Engineer role in London, United Kingdom.

Success Rate

8%
Pass Rate

Meta's interview process for their Machine Learning Engineer roles in London, the United Kingdom is extremely selective, failing the vast majority of engineers.

Experience Rating

Positive58%
Neutral23%
Negative19%

Candidates reported having very good feelings for Meta's Machine Learning Engineer interview process in London, United Kingdom.

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