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TikTok Machine Learning Engineer Interview
Questions & Process

What 236 candidates said about the rounds, the
questions and how long the wait really is.

From 236 candidate reports · FREE TO READ

2.2Rounds average
30.1Day average
AverageTypical difficulty
37.3%Positive experience

Questions candidates reported

Quoted word for word from TikTok interview reports.

Engineering accounts for 10,860 of 236 reports, so company-wide questions may lean toward that function. Pick your role above for questions from your own loop.

What is the difference between supervised and unsupervised learning?

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How to train deep neural networks with limited data? Discuss recent techniques.

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Formats, difficulty and experience

Across all 236 TikTok interview reports.

Question formats

Coding37.4%
Technical35.3%
Behavioral22%
System Design4.4%
Other0.5%

Interview difficulty

Easy5.9%
Average61.9%
Difficult32.2%

Candidate experience

Negative18.2%
Neutral44.5%
Positive37.3%

Reports by job function

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

The interview process

Described in candidates’ own words.

I had an interview scheduled late at night because the interviewers were in China. The interview involved solving an island problem using DFS, and then they went deep into my CV, asking detailed questions about my projects, framed in a way that connected them to application scenarios.Candidate-reported process
The process was overall smooth but really lacked respect for interviewees. I completed all 3 rounds, but they canceled the HR call about compensation an hour before it was scheduled. I never received any feedback and was ghosted. All three rounds were pretty much the same: two technical interviews with developers and one with the hiring manager, which included a resume dive, standard ML questions, and a LeetCode problem.Candidate-reported process
The first round was okay, I was asked a BFS question. I didn't get past the first round because it was my first coding interview ever and I froze. Live coding was intimidating.Candidate-reported process
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