Machine Learning Engineer Interview Experience - Menlo Park, California
June 28, 2024
Positive ExperienceNo Offer
Process
Standard Meta screening with 2 Leet code questions under 40 mins. I got asked 2 questions, mostly from Leetcode and their variations. I was underprepared and solved only one out of the 2. Interviewer, however, was helpful.
Questions
A variation of simplify path from LeetCode.
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Interview Statistics
The following metrics were computed from 10 interview experiences for the Meta Machine Learning Engineer role in Menlo Park, California.
Success Rate
20%
Pass Rate
Meta's interview process for their Machine Learning Engineer roles in Menlo Park, California is very selective, failing most engineers who go through it.
Experience Rating
Positive70%
Neutral20%
Negative10%
Candidates reported having very good feelings for Meta's Machine Learning Engineer interview process in Menlo Park, 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.
4.0
Too performance-driven
Machine Learning Engineer • Current Employee
Menlo Park, California, United States
August 17, 2025
Pros: Fast-paced.
Great benefits and pay.
Cons: Everyone is focused on what they can show for their performance reviews.
3.0
Not worth going anymore
Machine Learning Engineer • Former Employee
Menlo Park, California, United States
June 9, 2025
Pros: relatively high pay
free food
Cons: toxic workplace
minimum work-life balance
reduced benefits
- 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.
- 4.0Too performance-drivenMachine Learning Engineer • Current EmployeeMenlo Park, California, United StatesAugust 17, 2025Pros: Fast-paced. Great benefits and pay.Cons: Everyone is focused on what they can show for their performance reviews.
- 3.0Not worth going anymoreMachine Learning Engineer • Former EmployeeMenlo Park, California, United StatesJune 9, 2025Pros: relatively high pay free foodCons: toxic workplace minimum work-life balance reduced benefits
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