Machine Learning Engineer Interview Experience - Los Angeles, California
December 30, 2024
Positive ExperienceNo Offer
Process
Phone screen: Medium LeetCode-style question with follow-ups.
Interviewer was helpful and attentive.
Focus on getting to the optimal solution, not necessarily in terms of O-notation, but runtime-wise.
Questions
BST question involving traversal and pruning.
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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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