Process
I applied through college or university. The process took two weeks.
- Project and experience discussion: Asked about past projects and work experience in detail.
- Technical round: Merge sort and a medium-to-hard DP problem.
- Case study: Designing a model to recommend items for TikTok Shop.
The interview was in Chinese.
Questions
Compute the number of ways you can put $N$ queens on an $N \times N$ chessboard.
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Interview Statistics
The following metrics were computed from 186 interview experiences for the TikTok Machine Learning Engineer role.
Success Rate
11%
Pass Rate
TikTok's interview process for their Machine Learning Engineer roles is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive34%
Neutral42%
Negative24%
Candidates reported having good feelings for TikTok's Machine Learning Engineer interview process.
TikTok Work Experiences
5.0
Competitive but interesting
Machine Learning Engineer • Former Employee
New York, New York, United States
August 27, 2024
Pros: Nice working environment and fine dining.
Cons: competitive atmosphere and difficult tasks
5.0
Great Pay, Long Hours
Machine Learning Engineer • Current Employee
Bellevue, Washington, United States
March 6, 2025
Pros: High salary with a lot of perks.
Cons: Working hours are too long.
1.0
Bad leadership and junior management
Machine Learning Engineer • Current Employee
Singapore, Singapore
June 29, 2025
Pros: * Name of the company
* Compensation is not bad when you join
Cons: Leaders have no vision for this company. Endless hire, fire, reorg, delivering absolutely nothing.
Worst infrastructure I have ever seen; very unstable.
Junior management. Most mid-level leaders have no idea how a normal company looks.
Environment is becoming toxic. Sometimes other departments stab you in the back, and everyone feels insecure.
RSUs have limited buyback, which makes the total compensation not as high as it looks.
If you don't speak Chinese, you are definitely marginalized.
- 5.0Competitive but interestingMachine Learning Engineer • Former EmployeeNew York, New York, United StatesAugust 27, 2024Pros: Nice working environment and fine dining.Cons: competitive atmosphere and difficult tasks
- 5.0Great Pay, Long HoursMachine Learning Engineer • Current EmployeeBellevue, Washington, United StatesMarch 6, 2025Pros: High salary with a lot of perks.Cons: Working hours are too long.
- 1.0Bad leadership and junior managementMachine Learning Engineer • Current EmployeeSingapore, SingaporeJune 29, 2025Pros: * Name of the company * Compensation is not bad when you joinCons: Leaders have no vision for this company. Endless hire, fire, reorg, delivering absolutely nothing. Worst infrastructure I have ever seen; very unstable. Junior management. Most mid-level leaders have no idea how a normal company looks. Environment is becoming toxic. Sometimes other departments stab you in the back, and everyone feels insecure. RSUs have limited buyback, which makes the total compensation not as high as it looks. If you don't speak Chinese, you are definitely marginalized.
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