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Fetch Machine Learning Engineer Interview Questions
& Process

Real candidates share what happened, how many rounds they had,
and how the experience turned out.

Based on 5 interview experiences · FREE TO READ

2.2 Rounds average
Average Typical difficulty
20% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at Fetch.

Showing 3 of 5
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ML Engineer

Engineering · nearly a year ago

Intern Average Neutral experience No offer 3 rounds
Interview process
Recruiter call Phone screen Onsite
Interview formats
Technical Coding Behavioral

The interview process was pretty straight-forward, starting with a recruiter round, then a hiring manager round, and finishing with an in-person technical/overall round. The only thing was that I failed to see the metric being used to measure a candidate during the hiring manager round.

Confirmed questions1 question
  • Can you describe your thought process for completing the assigned online assessment?
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Machine Learning Engineer

Engineering · a year ago

Entry Easy Negative experience No offer 1 round
Interview process
Take home
Interview formats
Coding

I didn't get a recruiter call or email. I was sent a take-home assessment straight away. I finished it and sent it back within a couple of days. They rejected me in one day with no explanation. I feel like this was one of my worst interview experiences.

Confirmed questions1 question
  • A take-home assessment involving ML coding.
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ML Engineer

Engineering · more than a year ago

Mid Average Positive experience No offer 3 rounds
Interview process
Take home Phone screen Onsite
Interview formats
Technical Coding Behavioral

They have take home exercises that are related to ML, then a Phone Screening covering ML foundation and ML practice, etc. The Onsite Interview includes ML knowledge, coding, and behavior questions, etc. They normally act very quickly. You should know the outcomes right after your onsite.

Confirmed questions3 questions
  • Questions about ML foundation were asked.
  • Questions about ML practice were asked.
  • Questions about ML in a Cloud environment were asked.

Fetch Machine Learning Engineer Interview Questions

Quoted word for word from Fetch interview reports.

Could you also develop a basic web interface to present the prediction results?

Read reports

Regarding the assignment, what changes would you have made if you had the chance to do it again?

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Can you describe your thought process for completing the assigned online assessment?

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Formats, difficulty and experience

Across all 5 Fetch interview reports.

Interview formats

Technical 36.4%
Coding 27.3%
Behavioral 27.3%
Presentation 9.1%

Interview difficulty

Easy 20%
Average 60%
Difficult 20%

Candidate experience

Positive 20%
Negative 40%
Neutral 40%