Machine Learning Engineer Interview Experience - Singapore, Singapore
Process
Extremely unprofessional company.
My profile was passed around to several teams, and I interviewed probably 8-10 times in total.
All interviews were conducted in Chinese, so beware!
After passing the technical interviews and HR round, I was told there was a hiring freeze and asked to interview with another team.
I suspect they were just interviewing locals to meet the government quota to hire their own people.
Questions
Write code for:
- Composite probability function
- Find cube root solution
- Implement a queue via 2 stacks
- Code out the self-attention module
- Write out the binary tree class
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Interview Statistics
The following metrics were computed from 13 interview experiences for the TikTok Machine Learning Engineer role in Singapore, Singapore.
Success Rate
TikTok's interview process for their Machine Learning Engineer roles in Singapore, Singapore is very selective, failing most engineers who go through it.
Experience Rating
Candidates reported having mixed feelings for TikTok's Machine Learning Engineer interview process in Singapore, Singapore.
TikTok Work Experiences
- 4.0Fast Growth, Poor CommunicationMachine Learning Engineer • Former EmployeeNovember 26, 2025Pros: Fast-paced company, grown fast.Cons: Excess cross-functional cooperation leads to low communication effectiveness.
- 5.0TikTok is not all bad. It’s highly team dependent.Machine Learning Engineer • Current EmployeeSingapore, SingaporeNovember 14, 2025Pros: I love my team. I think at TikTok it is very, very team dependent. Some teams are horrible; some are really good. Generally, people are really smart, but some teams can have horrible work cultures, such as micromanaging your time or not respecting your off days, etc. I would say it all depends on your team. If you manage to get into a good team with a good leader, even if the work is tough, it's a lot more manageable.Cons: The pace is definitely fast, but a good team helps to make it better. My team works hard, but we also respect off days and weekends as much as we can.
- 4.0Overall acceptable, but expected poor WLB.Machine Learning Engineer • Current EmployeeSingapore, SingaporeOctober 27, 2025Pros: quite a lot of challenges, and the colleagues are excellent.Cons: Need to work overtime very often and have meetings at night.
TikTok Interview Questions
