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Machine Learning Interview Experience

March 10, 2016
Negative ExperienceNo Offer

Process

The interview process was fairly straightforward, with a simple coding question. I answered it and showed that the code would work with specific test cases. The interviewer, although a bit rude, seemed to agree on the solution.

I wrote the complete code in Java, with appropriate syntax. It's surprising to me that despite answering the question correctly, I didn't get to the next round.

It's likely that the decision was not just a function of my programming skills, but it's inexcusable that tech companies are often disingenuous and non-transparent about the process. It only reflects poorly on the company's culture.

Questions

Detecting whether a string was a palindrome. Doing it in-place and with the string containing possible cases of alpha-numerics.

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Interview Statistics

The following metrics were computed from 4 interview experiences for the Meta Machine Learning role in United States.

Success Rate

0%
Pass Rate

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

Experience Rating

Positive25%
Neutral25%
Negative50%

Candidates reported having very negative feelings for Meta's Machine Learning interview process in United States.

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