Machine Learning Engineer Interview Experience - Canada
February 14, 2021
Positive ExperienceNo Offer
Process
The interview process consisted of an HR phone screen, an online coding interview, and then a full day with five 5-hour-long interviews. This included two coding interviews, a system design interview, a behavioral interview, and a machine learning interview.
Questions
Tell me about a time you faced an obstacle and how did you resolve it?
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
2.0
Very stressful environment and tons of pressure
Machine Learning Engineer • Current Employee
London, England, United Kingdom
September 3, 2025
Pros: Good compensation and benefits.
Lots of automated systems.
Cons: Tedious tasks.
Competitive and stressful environment.
Seniors are not doing any work.
Bad work-life balance.
5.0
Energized Culture, Mature Products
Machine Learning Engineer • Former Employee
Menlo Park, California, United States
August 18, 2024
Pros: Good culture, energy, and work.
Cons: Mature products, I guess, is a con.
4.0
All right, place to work
Machine Learning Engineer • Current Employee
Bellevue, Washington, United States
March 8, 2025
Pros: 1. Work is pretty interesting and enjoyable.
2. Compensation is not bad.
Cons: 1. Tons of politics and scope stealing, which makes the enjoyable work feel much less rewarding.
2. Diversity issues: I was the only person on a team of 10 who couldn't speak a certain language and was frequently left out of discussions.
- 2.0Very stressful environment and tons of pressureMachine Learning Engineer • Current EmployeeLondon, England, United KingdomSeptember 3, 2025Pros: Good compensation and benefits. Lots of automated systems.Cons: Tedious tasks. Competitive and stressful environment. Seniors are not doing any work. Bad work-life balance.
- 5.0Energized Culture, Mature ProductsMachine Learning Engineer • Former EmployeeMenlo Park, California, United StatesAugust 18, 2024Pros: Good culture, energy, and work.Cons: Mature products, I guess, is a con.
- 4.0All right, place to workMachine Learning Engineer • Current EmployeeBellevue, Washington, United StatesMarch 8, 2025Pros: 1. Work is pretty interesting and enjoyable. 2. Compensation is not bad.Cons: 1. Tons of politics and scope stealing, which makes the enjoyable work feel much less rewarding. 2. Diversity issues: I was the only person on a team of 10 who couldn't speak a certain language and was frequently left out of discussions.
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
