Machine Learning Scientist Interview Experience - Canada
February 15, 2023
Positive ExperienceNo Offer
Process
There were 6 interviews:
- 1 coding interview
- 1 presentation
- 1 behavioral interview
- 2 machine learning questions
- 1 machine learning design question
It took 3 days, and each day I had 2 interviews.
Questions
Design a friend suggestion system on Facebook.
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Interview Statistics
The following metrics were computed from 1 interview experience for the Meta Machine Learning Scientist role in Canada.
Success Rate
0%
Pass Rate
Meta's interview process for their Machine Learning Scientist roles in Canada is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive100%
Neutral0%
Negative0%
Candidates reported having very good feelings for Meta's Machine Learning Scientist interview process in Canada.
Meta Work Experiences
5.0
A great place if you want to work in a research-like environment
Machine Learning Scientist • Former Employee
October 8, 2023
Pros: The team consisted of like-minded people (PhDs in machine learning/statistics/mathematics/physics), so communication and collaboration is very similar to what you would typically have if you were in academia. The application process was also one of the best I have ever had. The HR was very responsive, and there are plenty of concrete, helpful preparation tips on their website.
Cons: I can't think of any major cons.
5.0
Good Pay, Culture; Needs Mgmt
Machine Learning Scientist • Former Employee
Los Angeles, California, United States
January 2, 2023
Pros: Good pay, food, and culture
Cons: Need better management.
Immigration process.
4.0
Decent pay and an okay workplace
Software Engineer • Current Employee
Kelowna, British Columbia, Canada
May 13, 2023
Pros: Good salary and great food
Cons: Toxic culture and managers make me do too much work.
- 5.0A great place if you want to work in a research-like environmentMachine Learning Scientist • Former EmployeeOctober 8, 2023Pros: The team consisted of like-minded people (PhDs in machine learning/statistics/mathematics/physics), so communication and collaboration is very similar to what you would typically have if you were in academia. The application process was also one of the best I have ever had. The HR was very responsive, and there are plenty of concrete, helpful preparation tips on their website.Cons: I can't think of any major cons.
- 5.0Good Pay, Culture; Needs MgmtMachine Learning Scientist • Former EmployeeLos Angeles, California, United StatesJanuary 2, 2023Pros: Good pay, food, and cultureCons: Need better management. Immigration process.
- 4.0Decent pay and an okay workplaceSoftware Engineer • Current EmployeeKelowna, British Columbia, CanadaMay 13, 2023Pros: Good salary and great foodCons: Toxic culture and managers make me do too much work.
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