Machine Learning Engineer Interview Experience - Canada
September 6, 2021
Negative ExperienceNo Offer
Process
Quick introduction about yourself.
Then, discuss some relevant experience.
There were some basic ML questions.
The last part was a coding challenge. The level of the question was hard.
Questions
Basic ML questions and a programming question
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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
0%
Pass Rate
Pinterest's interview process for their Machine Learning Engineer roles in Canada is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive71%
Neutral0%
Negative29%
Candidates reported having very good feelings for Pinterest's Machine Learning Engineer interview process in Canada.
Pinterest Work Experiences
4.0
Good Pay, Too Much Politics
Machine Learning Engineer • Current Employee
Seattle, Washington, United States
December 30, 2024
Pros: - Good compensation
- Remote-friendly
Cons: - Lots of politics
- Too many useless managements
4.0
Relatively better WLB
Machine Learning Engineer • Current Employee
Palo Alto, California, United States
April 14, 2024
Pros: Relatively better work-life balance.
Cons: The company could be more innovative when it comes to the latest ML trends.
4.0
Great place to work
Machine Learning Engineer • Current Employee
San Francisco, California, United States
January 4, 2025
Pros: Remote work options available. Unlimited PTO.
Cons: Leadership keeps changing direction many a time.
- 4.0Good Pay, Too Much PoliticsMachine Learning Engineer • Current EmployeeSeattle, Washington, United StatesDecember 30, 2024Pros: - Good compensation - Remote-friendlyCons: - Lots of politics - Too many useless managements
- 4.0Relatively better WLBMachine Learning Engineer • Current EmployeePalo Alto, California, United StatesApril 14, 2024Pros: Relatively better work-life balance.Cons: The company could be more innovative when it comes to the latest ML trends.
- 4.0Great place to workMachine Learning Engineer • Current EmployeeSan Francisco, California, United StatesJanuary 4, 2025Pros: Remote work options available. Unlimited PTO.Cons: Leadership keeps changing direction many a time.
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