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Machine Learning Engineer Interview Experience - Toronto, Ontario

April 1, 2022
Neutral ExperienceNo Offer

Process

Online Assessment on HackerRank (45 min, LC easy) HR/Recruiter Chat (30 min) Technical Assessment (45 min, LC easy/medium)

Onsite:

  • Coding (45 min, LC easy/medium)
  • Systems Design (45 min, ML Focused)
  • Behavioural I (45 min)
  • Behavioural II (45 min)

I felt it went well, but I didn't get an offer and received a template email as feedback. I asked for more feedback and was told that I should have asked more questions before solving problems in the technical rounds. I did ask some questions before starting to solve problems, but I think they REALLY value this. I made (and corrected) a mistake because I didn't clarify something in the sys design round.

I enjoyed talking to everyone except the system design interviewer; he was just not friendly or collaborative at all compared to how incredibly nice all the other interviewers were.

Questions

  • Get users opted in/out after processing an opt-in/out log.
  • Bigram tokenization.
  • Random weighted sample of a list.
  • Design a recommendation system.
  • Time you dealt with failure.
  • Time you dealt with a conflict at work.
  • Time you dealt with an uncomfortable situation at work.
  • Tell me about yourself.
  • Tell me about a time you worked on a team, what were your responsibilities, and did you lead?
  • Tell me about your work experience.
  • Why Yelp?

Interview Statistics

The following metrics were computed from 3 interview experiences for the Yelp Machine Learning Engineer role in Toronto, Ontario.

Success Rate

0%
Pass Rate

Yelp's interview process for their Machine Learning Engineer roles in Toronto, Ontario is extremely selective, failing the vast majority of engineers.

Experience Rating

Positive33%
Neutral67%
Negative0%

Candidates reported having very good feelings for Yelp's Machine Learning Engineer interview process in Toronto, Ontario.