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Meta Machine Learning Engineer Interview
Questions & Process

What 227 candidates said about the rounds, the
questions and how long the wait really is.

From 227 candidate reports · FREE TO READ

3.1Rounds average
38.8Day average
AverageTypical difficulty
54.6%Positive experience

Questions candidates reported

Quoted word for word from Meta interview reports.

Engineering accounts for 10,860 of 227 reports, so company-wide questions may lean toward that function. Pick your role above for questions from your own loop.

After coding, how do you analyze and state the time complexity of your algorithm?

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Implement a medium-difficulty LeetCode-style coding problem

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Formats, difficulty and experience

Across all 227 Meta interview reports.

Question formats

Technical30.2%
Coding29%
Behavioral19.9%
System Design14.3%
Other6.4%

Interview difficulty

Easy7.9%
Average52%
Difficult40.1%

Candidate experience

Positive54.6%
Neutral24.2%
Negative21.1%

Reports by job function

Engineering10,860
Operations1,308
Product1,188
Sales1,054
Other762
Marketing542

The interview process

Described in candidates’ own words.

First round was a screen with behavioral stuff and 2 leetcodes, one medium and one hard, each like 15-17 minutes. If you pass that, the loop is 4-6 interviews: 2 design, 2 coding, and 1 behavioral.Candidate-reported process
The interview started with a technical phone screen that had a medium-difficulty LeetCode-style problem. After that, there was an onsite interview with two coding sessions, one system design session, and one behavioral session.Candidate-reported process
Standard Meta process. 1. Recruiter Call 2. Screening Call 3. Onsite Calls - 4 rounds (2 coding, 1 ML design, 1 behavioral). Interviews were all nice except for behavioral.Candidate-reported process
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