Process
The interviewer asked two LeetCode medium questions within 45 minutes. The first 5 minutes were for introductions, and the last 5 minutes were for any questions you might have. This leaves you with approximately 35 minutes to solve the two LeetCode medium questions.
Questions
The Three Sum problem from LeetCode.
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Interview Statistics
The following metrics were computed from 92 interview experiences for the Meta Machine Learning Engineer role in United States.
Success Rate
11%
Pass Rate
Meta's interview process for their Machine Learning Engineer roles in the United States is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive53%
Neutral26%
Negative21%
Candidates reported having very good feelings for Meta's Machine Learning Engineer interview process in United States.
Meta Work Experiences
5.0
Fast Pace, Great Peers
Machine Learning Engineer • Current Employee
San Jose, California, United States
February 5, 2021
Pros: Peers are good. Move fast.
Cons: Work-life balance is not good.
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.
4.0
A great place to work; it is what you make of it
Machine Learning Engineer • Current Employee
May 10, 2024
Pros: Interesting work, a very impact-driven culture, and many bright and talented engineers.
Cons: Work-life balance can be an issue.
High churn.
- 5.0Fast Pace, Great PeersMachine Learning Engineer • Current EmployeeSan Jose, California, United StatesFebruary 5, 2021Pros: Peers are good. Move fast.Cons: Work-life balance is not good.
- 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.
- 4.0A great place to work; it is what you make of itMachine Learning Engineer • Current EmployeeMay 10, 2024Pros: Interesting work, a very impact-driven culture, and many bright and talented engineers.Cons: Work-life balance can be an issue. High churn.
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