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Machine Learning Software Engineer Interview Experience - Palo Alto, California

February 1, 2021
Negative ExperienceNo Offer

Process

The interview process included a phone screening and a technical interview. The technical interview primarily consisted of LeetCode questions, with no relevance to machine learning.

I was initially excited about the opportunity, but the interview preparation demanded significant effort. As a busy individual, I lacked the time to revisit and learn LeetCode-specific material. I am an experienced Machine Learning professional, and this type of questioning felt beyond my expertise.

Despite this, I dedicated three weeks to training and refreshing my knowledge as much as possible. During the interview, I was presented with two questions. I solved the first one with an optimal answer within seconds. For the second question, I required about five minutes of thinking time. Apparently, this was insufficient to proceed.

In my personal opinion, this was a horrible experience, and I have lost respect for the company. It feels akin to buying a Ferrari and then being asked about the bicycle I rode as a child. I possessed extensive knowledge and experience in Machine Learning to share, but instead, the focus was on solving a LeetCode problem unrelated to my field to assess my skills in an area I do not even work in.

Questions

Standard medium or hard LeetCode questions

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Interview Statistics

The following metrics were computed from 2 interview experiences for the Meta Machine Learning Software Engineer role in Palo Alto, California.

Success Rate

0%
Pass Rate

Meta's interview process for their Machine Learning Software Engineer roles in Palo Alto, California is extremely selective, failing the vast majority of engineers.

Experience Rating

Positive50%
Neutral0%
Negative50%

Candidates reported having mixed feelings for Meta's Machine Learning Software Engineer interview process in Palo Alto, California.

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