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Machine Learning Engineer Interview Experience - San Francisco, California

April 1, 2023
Positive ExperienceGot Offer

Process

The interview process was very smooth.

It took about a month from the first recruiter reach-out to getting an official offer.

The interviews were all very unique, less about algorithmic problem-solving and more about understanding your thought process.

Questions

One 75-minute technical screening, asking simple ML theory questions and a medium algorithmic coding question.

Virtual onsite:

  • Two interviews covering all previous jobs and asking quick questions about projects, managers, and yourself.
  • ML System Design interview.
  • ML theory interview.
  • Big Data Computation interview.

After the onsite, they asked for four references from previous managers and peers.

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Interview Statistics

The following metrics were computed from 2 interview experiences for the Grammarly Machine Learning Engineer role in San Francisco, California.

Success Rate

50%
Pass Rate

Grammarly's interview process for their Machine Learning Engineer roles in San Francisco, California is fairly selective, failing a large portion of engineers who go through it.

Experience Rating

Positive100%
Neutral0%
Negative0%

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

Grammarly Work Experiences