Meta

ML Engineer Interview Experience

October 1, 2021

Positive ExperienceGot Offer

Process

First two consecutive coding interviews.

In each of the interviews, I was asked two medium LeetCode-type questions.

Then, team match interviews.

There are no specific questions in the team match interviews. Each team can ask different questions.

Questions

Four medium LeetCode-type questions. I cannot provide much detail.

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Interview Statistics

The following metrics were computed from 15 interview experiences for the Meta ML Engineer role in United States.

Success Rate

13%

Pass Rate

Meta's interview process for their ML Engineer roles in the United States is extremely selective, failing the vast majority of engineers.

Experience Rating

Positive73%

Neutral27%

Negative0%

Candidates reported having very good feelings for Meta's ML Engineer interview process in United States.

Meta Work Experiences

Good Tools, Stock Uncertainty

ML Engineer • Former Employee

October 23, 2022

Pros: The wiki is good to use to search codes.

Cons: Uncertainty now, especially the stock.

Good Tools, Stock Uncertainty

ML Engineer • Former Employee

October 23, 2022

Pros: The wiki is good to use to search codes.

Cons: Uncertainty now, especially the stock.

Valuable Equity, High Stress

ML Engineer • Current Employee

San Francisco, California, United States

Pros: No scrum meetings. Loved the equity.

Cons: Constant fear of layoffs. Stress.

Valuable Equity, High Stress

ML Engineer • Current Employee

San Francisco, California, United States

Pros: No scrum meetings. Loved the equity.

Cons: Constant fear of layoffs. Stress.

High Pay, Poor Ideology

ML Engineer • Former Employee

New York, New York, United States

Pros: Relatively high salary, nothing else.

Cons: Woke ideology in companies, and a lack of common sense.

High Pay, Poor Ideology

ML Engineer • Former Employee

New York, New York, United States

Pros: Relatively high salary, nothing else.

Cons: Woke ideology in companies, and a lack of common sense.

Good Tools, Stock Uncertainty

ML Engineer • Former Employee

October 23, 2022

Pros: The wiki is good to use to search codes.

Cons: Uncertainty now, especially the stock.

4.0
Good Tools, Stock Uncertainty
ML Engineer • Former Employee
October 23, 2022
Pros: The wiki is good to use to search codes.
Cons: Uncertainty now, especially the stock.

Valuable Equity, High Stress

ML Engineer • Current Employee

San Francisco, California, United States

Pros: No scrum meetings. Loved the equity.

Cons: Constant fear of layoffs. Stress.

4.0
Valuable Equity, High Stress
ML Engineer • Current Employee
San Francisco, California, United States
July 16, 2025
Pros: No scrum meetings. Loved the equity.
Cons: Constant fear of layoffs. Stress.

High Pay, Poor Ideology

ML Engineer • Former Employee

New York, New York, United States

Pros: Relatively high salary, nothing else.

Cons: Woke ideology in companies, and a lack of common sense.

2.0
High Pay, Poor Ideology
ML Engineer • Former Employee
New York, New York, United States
July 11, 2025
Pros: Relatively high salary, nothing else.
Cons: Woke ideology in companies, and a lack of common sense.

Meta Interview Questions

Minimum Remove to Make Valid Parentheses

Given a string with parentheses, determine the minimum number of parentheses you must remove to make the string valid. A valid string has balanced and properly nested parentheses.

StringsStacksTwo Pointers

Valid Word Abbreviation

Determine if a given abbreviation is valid for a given word. An abbreviation can contain digits representing the number of skipped characters.

StringsTwo Pointers

Binary Tree Vertical Order Traversal

Traverse a binary tree and return a list of node values for each vertical line, ordered from left to right. Nodes on the same vertical line should be ordered from top to bottom.

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