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Machine Learning Engineer Interview Experience - Toronto, Ontario

November 1, 2024
Neutral ExperienceNo Offer

Process

There were 4 rounds in total: HR screening, technical screening, and a virtual onsite interview lasting approximately 3 hours.

The HR screening was straightforward. The technical screening involved problem-solving using a preferred language, focusing on business logic rather than LeetCode-style questions.

The virtual onsite comprised three rounds: two system design-related interviews and a final behavioral round with the hiring manager.

Throughout the process, the recruiter provided email updates and confirmations for upcoming interviews.

I believe I performed well overall. The first design round involved discussing a previous application I had worked on. However, when they decided to reject my application, they stated I did not pass the first design interview. This was confusing, and although the recruiter advised me to request more information from another HR team member, I ultimately received no feedback, despite putting significant effort into my preparation.

Questions

  • Walk through a previous ML-related project you worked on (1st design round).

  • Design a system/application based on the requirements (2nd design round).

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Interview Statistics

The following metrics were computed from 1 interview experience for the Samsara Machine Learning Engineer role in Toronto, Ontario.

Success Rate

0%
Pass Rate

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

Experience Rating

Positive0%
Neutral100%
Negative0%

Candidates reported having mixed feelings for Samsara's Machine Learning Engineer interview process in Toronto, Ontario.

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