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Machine Learning Engineer Interview Experience

November 1, 2022
Positive ExperienceNo Offer

Process

The interview process begins with a 2-hour HR screening. This will cover background, experience, VISA status, and other non-technical aspects.

Following the HR screening, there will be a 1st technical interview.

This will be followed by 4 rounds of Virtual Onsite interviews, which include:

  • Two coding rounds
  • Two ML design rounds

Questions

1st round: Past experience, ML fundamental questions, overfitting, how to address training loss oscillation, how to check for data drift, etc.

4 rounds of Virtual onsite:

  • 2 coding rounds, one question for each coding round: array and recursive problem (not on LeetCode).
  • 2 ML design: recommendation system and how to design and generate PIN embeddings.

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Interview Statistics

The following metrics were computed from 23 interview experiences for the Pinterest Machine Learning Engineer role in United States.

Success Rate

4%
Pass Rate

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

Experience Rating

Positive39%
Neutral35%
Negative26%

Candidates reported having good feelings for Pinterest's Machine Learning Engineer interview process in United States.

Pinterest Work Experiences