Machine Learning Engineer Interview Experience - Singapore
April 7, 2025
Neutral ExperienceNo Offer
Process
Asked basic machine learning questions. Live coding was rather stressful but doable. Interviewer was rather helpful in prompting. Overall quite a smooth one although I did not get the offer.
Questions
How to deal with imbalanced datasets.
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Interview Statistics
The following metrics were computed from 24 interview experiences for the TikTok Machine Learning Engineer role in Singapore.
Success Rate
25%
Pass Rate
TikTok's interview process for their Machine Learning Engineer roles in Singapore is very selective, failing most engineers who go through it.
Experience Rating
Positive38%
Neutral33%
Negative29%
Candidates reported having mixed feelings for TikTok's Machine Learning Engineer interview process in Singapore.
TikTok Work Experiences
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.
4.0
Big Company, Good Pay, Tough Test
Machine Learning Engineer • Current Employee
San Jose, California, United States
September 27, 2023
Pros: Big company, good pay, sponsor.
Cons: Code test is not easy.
5.0
Great Team, Tough Pressures
Machine Learning Engineer • Current Employee
San Jose, California, United States
February 27, 2025
Pros: Team is great, strong management, and very interesting technical problems.
Cons: Concerns with governmental pressures.
- 4.0Overall acceptable, but expected poor WLBMachine 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.
- 4.0Big Company, Good Pay, Tough TestMachine Learning Engineer • Current EmployeeSan Jose, California, United StatesSeptember 27, 2023Pros: Big company, good pay, sponsor.Cons: Code test is not easy.
- 5.0Great Team, Tough PressuresMachine Learning Engineer • Current EmployeeSan Jose, California, United StatesFebruary 27, 2025Pros: Team is great, strong management, and very interesting technical problems.Cons: Concerns with governmental pressures.
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