Machine Learning Engineer Interview Experience - Singapore, Singapore
August 1, 2023
Neutral ExperienceNo Offer
Process
- Online Coding Assessment:
- 2 hours for 2 MCQ and 3 coding questions.
- Followed by 3 Technical Interviews, 1 hour each.
Technical Interview:
- Whiteboard-style.
- Required to explain your code and logic.
Questions
1 Leetcode Hard question
ML Theory questions
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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
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.
5.0
Overall, it's good
Machine Learning Engineer • Former Employee
Singapore, Singapore
November 8, 2021
Pros: Strong tech, open culture, high salary.
Cons: Work-life balance is not very good.
3.0
Bad work-life balance
Machine Learning Engineer • Current Employee
San Jose, California, United States
January 23, 2025
Pros: Learned a lot.
Good compensation.
Allows you a lot of work travel flexibility.
Cons: If you don't speak Chinese, you are at a severe disadvantage. I spoke Chinese and was still majorly disadvantaged.
There is no support for new employees. The onboarding process has very little structure.
- 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.
- 5.0Overall, it's goodMachine Learning Engineer • Former EmployeeSingapore, SingaporeNovember 8, 2021Pros: Strong tech, open culture, high salary.Cons: Work-life balance is not very good.
- 3.0Bad work-life balanceMachine Learning Engineer • Current EmployeeSan Jose, California, United StatesJanuary 23, 2025Pros: Learned a lot. Good compensation. Allows you a lot of work travel flexibility.Cons: If you don't speak Chinese, you are at a severe disadvantage. I spoke Chinese and was still majorly disadvantaged. There is no support for new employees. The onboarding process has very little structure.
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