Machine Learning Engineer Interview Experience - Los Angeles, California
December 1, 2021
Negative ExperienceNo Offer
Process
Programming questions similar to medium LeetCode problems on binary trees and arrays. Time limit is 20 minutes. Also, lowest common ancestor in a tree. Must be able to code fast, quick, and well.
Questions
Next greatest element in less than N squared time, O(N^2).
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Interview Statistics
The following metrics were computed from 2 interview experiences for the Meta Machine Learning Engineer role in Los Angeles, California.
Success Rate
0%
Pass Rate
Meta's interview process for their Machine Learning Engineer roles in Los Angeles, California is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive50%
Neutral0%
Negative50%
Candidates reported having mixed feelings for Meta's Machine Learning Engineer interview process in Los Angeles, California.
Meta Work Experiences
5.0
Fast-paced, high-quality learning environment
Machine Learning Engineer • Current Employee
Menlo Park, California, United States
October 3, 2025
Pros: I love how they make interns work on projects that are relevant to the teams, so it makes you feel valued.
They encourage a very fast-paced learning rate, initiative, and starting beneficial projects on your own.
Cons: The learning curve can be quite steep, especially in the early weeks of your internship.
5.0
Great Pay, Long Hours
Machine Learning Engineer • Current Employee
Sydney, New South Wales, Australia
September 24, 2025
Pros: Good benefits and competitive salary.
Cons: Time spent on work is much.
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-paced, high-quality learning environmentMachine Learning Engineer • Current EmployeeMenlo Park, California, United StatesOctober 3, 2025Pros: I love how they make interns work on projects that are relevant to the teams, so it makes you feel valued. They encourage a very fast-paced learning rate, initiative, and starting beneficial projects on your own.Cons: The learning curve can be quite steep, especially in the early weeks of your internship.
- 5.0Great Pay, Long HoursMachine Learning Engineer • Current EmployeeSydney, New South Wales, AustraliaSeptember 24, 2025Pros: Good benefits and competitive salary.Cons: Time spent on work is much.
- 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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