Machine Learning Engineer Interview Experience - Canada
Process
The recruiter booked a meeting with me; I could only get through two rounds of interviews.
The first interview involved ML basic questions and a coding challenge. The second interview was similar; however, the coding challenge was harder, featuring LeetCode medium to hard questions.
Questions
What is regularization used for? Is the ROC curve for binary or non-binary classification?
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Interview Statistics
The following metrics were computed from 7 interview experiences for the Pinterest Machine Learning Engineer role in Canada.
Success Rate
Pinterest's interview process for their Machine Learning Engineer roles in Canada is extremely selective, failing the vast majority of engineers.
Experience Rating
Candidates reported having very good feelings for Pinterest's Machine Learning Engineer interview process in Canada.
Pinterest Work Experiences
- 5.0Excellent Growth And LearningMachine Learning Engineer • Current EmployeeNew York, New York, United StatesJune 3, 2025Pros: Great place to grow and learnCons: Nothing as such. A great place to grow and learn.
- 3.0Decent pay but poor leadership and unclear pathsMachine Learning Engineer • Current EmployeeJuly 31, 2026Pros: - WLB is fine. - Pay is decent. - Fully remote (so far).Cons: There was an unclear career development and a very unclear career path. The leadership and management were terrible. There was poor vision and a lot of churn.
- 4.0Great Company, Pay, BenefitsMachine Learning Engineer • Current EmployeeMarch 14, 2022Pros: Pay is very competitive. RSUs vest quarterly. Benefits are great (not as good as Meta or Google but still great). Smart colleagues (engineering). Work-life balance is great.Cons: Stock price dropped, and so did morale. Leadership at the very top does not give ICs confidence. There is a poor sense of direction at a company-wide level.
Pinterest Interview Questions
