Meta

Machine Learning Engineer Interview Experience - Tel Aviv-Yafo, Israel

January 22, 2025

Neutral ExperienceGot Offer

Process

Textbook interview: The recruiter shares everything that's going to happen.

Grind LeetCode as much as possible, with a minimum of 50 questions from different subjects.

Behavioral and design questions are most important as they determine the level.

Questions

BFS on a binary tree with some twist.

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Interview Statistics

The following metrics were computed from 3 interview experiences for the Meta Machine Learning Engineer role in Tel Aviv-Yafo, Israel.

Success Rate

33%

Pass Rate

Meta's interview process for their Machine Learning Engineer roles in Tel Aviv-Yafo, Israel is fairly selective, failing a large portion of engineers who go through it.

Experience Rating

Positive33%

Neutral33%

Negative33%

Candidates reported having mixed feelings for Meta's Machine Learning Engineer interview process in Tel Aviv-Yafo, Israel.

Meta Work Experiences

Challenging Projects, High Pressure

Machine Learning Engineer • Current Employee

Menlo Park, California, United States

Pros: Interesting projects to work on

Cons: Pressure to perform all the time.

Challenging Projects, High Pressure

Machine Learning Engineer • Current Employee

Menlo Park, California, United States

Pros: Interesting projects to work on

Cons: Pressure to perform all the time.

Excellent place to work

Machine Learning Engineer • Current Employee

Pros: Amazing benefits Excellent compensation ICs are generally well-supported by management Interesting, challenging work

Cons: Leadership and vision can sometimes be murky. Reputation is deserved in many cases, but not as much in others.

Excellent place to work

Machine Learning Engineer • Current Employee

Pros: Amazing benefits Excellent compensation ICs are generally well-supported by management Interesting, challenging work

Cons: Leadership and vision can sometimes be murky. Reputation is deserved in many cases, but not as much in others.

Good place to work, Low WLB

Machine Learning Engineer • Current Employee

New York, New York, United States

Pros: Nice comp, good project scope.

Cons: Low WLB, pretty stressful evaluation cycle.

Good place to work, Low WLB

Machine Learning Engineer • Current Employee

New York, New York, United States

Pros: Nice comp, good project scope.

Cons: Low WLB, pretty stressful evaluation cycle.

Challenging Projects, High Pressure

Machine Learning Engineer • Current Employee

Menlo Park, California, United States

Pros: Interesting projects to work on

Cons: Pressure to perform all the time.

5.0
Challenging Projects, High Pressure
Machine Learning Engineer • Current Employee
Menlo Park, California, United States
July 23, 2024
Pros: Interesting projects to work on
Cons: Pressure to perform all the time.

Excellent place to work

Machine Learning Engineer • Current Employee

Pros: Amazing benefits Excellent compensation ICs are generally well-supported by management Interesting, challenging work

Cons: Leadership and vision can sometimes be murky. Reputation is deserved in many cases, but not as much in others.

4.0
Excellent place to work
Machine Learning Engineer • Current Employee
June 15, 2022
Pros: Amazing benefits Excellent compensation ICs are generally well-supported by management Interesting, challenging work
Cons: Leadership and vision can sometimes be murky. Reputation is deserved in many cases, but not as much in others.

Good place to work, Low WLB

Machine Learning Engineer • Current Employee

New York, New York, United States

Pros: Nice comp, good project scope.

Cons: Low WLB, pretty stressful evaluation cycle.

5.0
Good place to work, Low WLB
Machine Learning Engineer • Current Employee
New York, New York, United States
May 18, 2024
Pros: Nice comp, good project scope.
Cons: Low WLB, pretty stressful evaluation cycle.

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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