Process
Over 4 rounds, recruiters did not provide accurate information about the interviews. I kept getting thrown curveballs. The interviews were technically challenging, with very theoretical and system design questions at every stage. There was also a 5-minute intro.
Questions
LC questions: 1 medium, 1 hard every round.
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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
2.0
Brilliant Colleagues, Poor Balance
Machine Learning Engineer • Current Employee
October 30, 2022
Pros: best colleagues who are brilliant
Cons: Not enough money, no work-life balance.
2.0
Good for new grads, but worst culture
Machine Learning Engineer • Current Employee
San Jose, California, United States
November 14, 2024
Pros: You will learn rocket-fast because you are always pushed by overloaded tasks. A fresh NG will handle several senior-level jobs under limited guidance.
Cons: 0 work-life balance. Work, work, work if you are a Chinese speaker. You will be working with people in China during the night for sure.
But for non-Chinese speakers, your life will be much better because the leadership will have 0 expectations from you. You can basically chill all day.
4.0
Machine Learning Engineer
Machine Learning Engineer • Current Employee
February 28, 2023
Pros: Great culture, nice, smart coworkers.
Cons: Bad hours, since I have to do meetings with people in China.
- 2.0Brilliant Colleagues, Poor BalanceMachine Learning Engineer • Current EmployeeOctober 30, 2022Pros: best colleagues who are brilliantCons: Not enough money, no work-life balance.
- 2.0Good for new grads, but worst cultureMachine Learning Engineer • Current EmployeeSan Jose, California, United StatesNovember 14, 2024Pros: You will learn rocket-fast because you are always pushed by overloaded tasks. A fresh NG will handle several senior-level jobs under limited guidance.Cons: 0 work-life balance. Work, work, work if you are a Chinese speaker. You will be working with people in China during the night for sure. But for non-Chinese speakers, your life will be much better because the leadership will have 0 expectations from you. You can basically chill all day.
- 4.0Machine Learning EngineerMachine Learning Engineer • Current EmployeeFebruary 28, 2023Pros: Great culture, nice, smart coworkers.Cons: Bad hours, since I have to do meetings with people in China.
TikTok Interview Questions
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