Machine Learning Engineer Interview Experience - New York, New York
August 19, 2022
Neutral ExperienceGot Offer
Process
I had six back-to-back interviews. Most of the interviewers were friendly, except for one arrogant, threatened interviewer. "Never outshine the master," as they say. Never outshine the interviewer is all I'm going to say.
They also ask questions to take ideas from you, so don't share your most brilliant ideas.
Questions
Build a recommendation-based engine.
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Interview Statistics
The following metrics were computed from 9 interview experiences for the Meta Machine Learning Engineer role in New York, New York.
Success Rate
0%
Pass Rate
Meta's interview process for their Machine Learning Engineer roles in New York, New York is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive33%
Neutral33%
Negative33%
Candidates reported having mixed feelings for Meta's Machine Learning Engineer interview process in New York, New York.
Meta Work Experiences
5.0
Great Pay, But Too Competitive
Machine Learning Engineer • Current Employee
New York, New York, United States
November 7, 2024
Pros: Good salary, work-life balance.
Cons: Too competitive, and keep learning.
4.0
Facebook Job Review
Machine Learning Engineer • Former Employee
New York, New York, United States
April 19, 2021
Pros: Coworkers are friendly, self-driven, curious, and talented.
Cons: The environment is very fast-paced and there's poor documentation.
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.
- 5.0Great Pay, But Too CompetitiveMachine Learning Engineer • Current EmployeeNew York, New York, United StatesNovember 7, 2024Pros: Good salary, work-life balance.Cons: Too competitive, and keep learning.
- 4.0Facebook Job ReviewMachine Learning Engineer • Former EmployeeNew York, New York, United StatesApril 19, 2021Pros: Coworkers are friendly, self-driven, curious, and talented.Cons: The environment is very fast-paced and there's poor documentation.
- 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.
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