Process
There were three interviews with them: one with HR, one technical, and one technical final.
Talking about the HR initial call, it was a usual 30-minute call where I briefly uncovered my experience. I would say it was a standard alignment call, and questions like "Why are you interested in this position?" were asked.
Questions
Overall experience related to ML. Recent experience related to the position.
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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
2.0
Just so-so
Machine Learning Engineer • Current Employee
Singapore, Singapore
March 10, 2025
Pros: A lot of free drinks and a free buffet every day.
Cons: Bosses push you every day and require a lot from you.
3.0
Good learning opportunities, but intense work
Machine Learning Engineer • Current Employee
Singapore, Singapore
May 14, 2025
Pros: Plenty of things to learn and problems to tackle.
Cons: Tech might be a bit outdated.
Work-life balance is not the best.
3.0
Hard work, working hard
Machine Learning Engineer • Current Employee
Singapore, Singapore
September 21, 2023
Pros: Challenging work and smart colleagues.
Cons: Working hours are insane. People in China work at least 12 hours per day.
- 2.0Just so-soMachine Learning Engineer • Current EmployeeSingapore, SingaporeMarch 10, 2025Pros: A lot of free drinks and a free buffet every day.Cons: Bosses push you every day and require a lot from you.
- 3.0Good learning opportunities, but intense workMachine Learning Engineer • Current EmployeeSingapore, SingaporeMay 14, 2025Pros: Plenty of things to learn and problems to tackle.Cons: Tech might be a bit outdated. Work-life balance is not the best.
- 3.0Hard work, working hardMachine Learning Engineer • Current EmployeeSingapore, SingaporeSeptember 21, 2023Pros: Challenging work and smart colleagues.Cons: Working hours are insane. People in China work at least 12 hours per day.
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