Machine Learning Engineer Interview Experience - Singapore, Singapore
October 10, 2025
Neutral ExperienceNo Offer
Process
It was a great experience. I really enjoyed it because I got to see how collaborative their culture was and how effectively they adapted and contextualized solutions to our needs.
Questions
Introduce yourself and tell me more about yourself.
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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
23%
Pass 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
Positive31%
Neutral31%
Negative38%
Candidates reported having mixed feelings for TikTok's Machine Learning Engineer interview process in Singapore, Singapore.
TikTok Work Experiences
4.0
Fast Growth, Poor Communication
Machine Learning Engineer • Former Employee
November 26, 2025
Pros: Fast-paced company, grown fast.
Cons: Excess cross-functional cooperation leads to low communication effectiveness.
5.0
TikTok is not all bad. It’s highly team dependent.
Machine Learning Engineer • Current Employee
Singapore, Singapore
November 14, 2025
Pros: 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.
4.0
Overall acceptable, but expected poor WLB.
Machine Learning Engineer • Current Employee
Singapore, Singapore
October 27, 2025
Pros: quite a lot of challenges, and the colleagues are excellent.
Cons: Need to work overtime very often and have meetings at night.
- 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.
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