Machine Learning Engineer Interview Experience - New York, New York
December 1, 2023
Negative ExperienceNo Offer
Process
Coding interview.
The questions were definitely on the more challenging side, but that was fine.
The interviewer, however, was very unresponsive, and it was difficult to get clear answers to clarifying questions.
Questions
K-closest to center & more difficult variation of Word Break III
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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
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.
4.0
Highly recommend for early career
Machine Learning Engineer • Former Employee
New York, New York, United States
November 7, 2024
Pros: Autonomy on projects and objectives.
Well-compensated.
Cons: * Too many parallel initiatives
* Mass layoffs
4.0
Learn a lot in Ads
Machine Learning Engineer • Current Employee
New York, New York, United States
June 27, 2025
Pros: Work with really talented people on the team.
Lot of work to be done (no in-team scope fighting).
Cons: Getting stuff done can be tricky due to XFN teams owning products useful for submitting flows.
A lot of pressure on impact.
Ramp-up can be very difficult for an E5.
- 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.
- 4.0Highly recommend for early careerMachine Learning Engineer • Former EmployeeNew York, New York, United StatesNovember 7, 2024Pros: Autonomy on projects and objectives. Well-compensated.Cons: * Too many parallel initiatives * Mass layoffs
- 4.0Learn a lot in AdsMachine Learning Engineer • Current EmployeeNew York, New York, United StatesJune 27, 2025Pros: Work with really talented people on the team. Lot of work to be done (no in-team scope fighting).Cons: Getting stuff done can be tricky due to XFN teams owning products useful for submitting flows. A lot of pressure on impact. Ramp-up can be very difficult for an E5.
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