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Machine Learning Engineer Interview Experience - San Jose, California

November 1, 2023
Positive ExperienceNo Offer

Process

The interview consists of an online assessment, an HR call, and four rounds of virtual onsite interviews. These include two machine learning system design interviews and two coding interviews. The four virtual onsite rounds can be scheduled in the same day or over two days.

Questions

Online assessment (75 minutes):

  • 6 multiple-choice problems
  • 1 neural network calculation
  • 1 coding problem
  • 2 ML coding problems (decision tree and random forest)

ML system design interview: Q1: How to design the user embedding? Q2: How to design a ML system for unsafe content detection?

Coding interview: Medium to hard level LeetCode questions (not the same problem)

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Interview Statistics

The following metrics were computed from 1 interview experience for the Pinterest Machine Learning Engineer role in San Jose, California.

Success Rate

0%
Pass Rate

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

Experience Rating

Positive100%
Neutral0%
Negative0%

Candidates reported having very good feelings for Pinterest's Machine Learning Engineer interview process in San Jose, California.

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