Process
I was reached out to by a recruiter.
Had a phone chat with the recruiter, and I was told in general that there are three steps in the interview process:
- Coding test
- Second technical interview
- "On-site" interview
Questions
Find the largest perimeter of an island given a 2-dimensional array.
Was this helpful?
Interview Statistics
The following metrics were computed from 14 interview experiences for the Meta Machine Learning Engineer role in Canada.
Success Rate
7%
Pass Rate
Meta's interview process for their Machine Learning Engineer roles in Canada is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive64%
Neutral14%
Negative21%
Candidates reported having very good feelings for Meta's Machine Learning Engineer interview process in Canada.
Meta Work Experiences
5.0
Fast Growth, Challenging Managers
Machine Learning Engineer • Current Employee
October 26, 2020
Pros: Can get to a better position fast.
Cons: Some managers are pushy; I need to avoid them.
3.0
Remote Work, Mixed Feelings
Machine Learning Engineer • Former Employee
San Francisco, California, United States
June 2, 2023
Pros: Nice people to work with. Position 100% remote.
Cons: Didn’t get a great feel for the company. Was part of a mass layoff after less than a year of employment. I left a very good job for them, which was so disappointing. But I did receive a good exit package.
4.0
Efficient, Collaborative, But Demanding
Machine Learning Engineer • Former Employee
New York, New York, United States
September 13, 2025
Pros: efficient
well-paid
collaborative environment
Cons: On site.
Long hours.
Competition high.
- 5.0Fast Growth, Challenging ManagersMachine Learning Engineer • Current EmployeeOctober 26, 2020Pros: Can get to a better position fast.Cons: Some managers are pushy; I need to avoid them.
- 3.0Remote Work, Mixed FeelingsMachine Learning Engineer • Former EmployeeSan Francisco, California, United StatesJune 2, 2023Pros: Nice people to work with. Position 100% remote.Cons: Didn’t get a great feel for the company. Was part of a mass layoff after less than a year of employment. I left a very good job for them, which was so disappointing. But I did receive a good exit package.
- 4.0Efficient, Collaborative, But DemandingMachine Learning Engineer • Former EmployeeNew York, New York, United StatesSeptember 13, 2025Pros: efficient well-paid collaborative environmentCons: On site. Long hours. Competition high.
Meta Interview Questions
Explore Interview QuestionsTaro 75Google Interview QuestionsMeta Interview QuestionsAmazon Interview QuestionsApple Interview QuestionsNetflix Interview Questions
Explore Interview ExperiencesOpenAI Interview ExperiencesAnthropic Interview ExperiencesPerplexity Interview ExperiencesWindsurf Interview ExperiencesMistral AI Interview Experiences
