Process
The interview included a coding question and some ML theory questions, followed by Q&A about the company. Overall, it was not very difficult, but I did not advance to the next round.
Questions
A backtracking question and ML knowledge.
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Interview Statistics
The following metrics were computed from 125 interview experiences for the TikTok Machine Learning Engineer role in United States.
Success Rate
9%
Pass Rate
TikTok's interview process for their Machine Learning Engineer roles in the United States is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive34%
Neutral46%
Negative20%
Candidates reported having good feelings for TikTok's Machine Learning Engineer interview process in United States.
TikTok Work Experiences
4.0
Feels like a contract employee
Machine Learning Engineer • Current Employee
Singapore, Singapore
August 24, 2025
Pros: Good pay.
Interesting technical problems.
Smart colleagues.
Cons: Poor work-life balance.
Stressful performance evaluation system.
4.0
New Division, Supportive Colleagues
Machine Learning Engineer • Former Employee
Mountain View, California, United States
December 6, 2021
Pros: 1. The TT division is quite new and has a lot of interesting work to do.
2. Colleagues are supportive, at least from my experience (Eng division).
3. Computing infra is good.
Cons: 1. Regular meetings with teams outside of the US.
2. Many documents are not well written.
3. Not a good place for NG or junior staff.
3.0
Very fast-moving and stressful
Machine Learning Engineer • Current Employee
Mountain View, California, United States
February 18, 2025
Pros: You will learn many things very fast.
Work on very high-impact projects.
Cons: Unpredictable work hours.
Forget about work-life balance.
- 4.0Feels like a contract employeeMachine Learning Engineer • Current EmployeeSingapore, SingaporeAugust 24, 2025Pros: Good pay. Interesting technical problems. Smart colleagues.Cons: Poor work-life balance. Stressful performance evaluation system.
- 4.0New Division, Supportive ColleaguesMachine Learning Engineer • Former EmployeeMountain View, California, United StatesDecember 6, 2021Pros: 1. The TT division is quite new and has a lot of interesting work to do. 2. Colleagues are supportive, at least from my experience (Eng division). 3. Computing infra is good.Cons: 1. Regular meetings with teams outside of the US. 2. Many documents are not well written. 3. Not a good place for NG or junior staff.
- 3.0Very fast-moving and stressfulMachine Learning Engineer • Current EmployeeMountain View, California, United StatesFebruary 18, 2025Pros: You will learn many things very fast. Work on very high-impact projects.Cons: Unpredictable work hours. Forget about work-life balance.
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