Machine Learning Engineer Interview Experience - Singapore
April 12, 2026
Negative ExperienceNo Offer
Process
It was a very negative experience. The interviewer seemed very impatient and only conducted a 20-minute interview for a supposed one-hour technical interview. I didn't get feedback for a very long time.
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Interview Statistics
The following metrics were computed from 12 interview experiences for the ByteDance Machine Learning Engineer role in Singapore.
Success Rate
17%
Pass Rate
ByteDance's interview process for their Machine Learning Engineer roles in Singapore is very selective, failing most engineers who go through it.
Experience Rating
Positive42%
Neutral17%
Negative42%
Candidates reported having mixed feelings for ByteDance's Machine Learning Engineer interview process in Singapore.
ByteDance Work Experiences
4.0
Great People, Tough Balance
Machine Learning Engineer • Current Employee
Shanghai, Shanghai, China
August 21, 2022
Pros: Great people around.
Great office and food.
Teams are very young.
Cons: Poor work-life balance.
Heavy workload.
2.0
Bytedance work experience
Machine Learning Engineer • Former Employee
Shanghai, Shanghai
December 28, 2025
Pros: Nice employee benefit, global work experience, and large-scale business scenario.
Cons: The management system is chaotic, with unclear OKRs that are frequently changed. There is high work pressure with severe overtime issues and a lot of office politics. There is little emphasis on employee growth.
4.0
Too much work overtime
Machine Learning Engineer • Current Employee
Hangzhou, Zhejiang, China
March 17, 2022
Pros: Good salary, extra traffic compensation.
Cons: Too much work and pressure.
- 4.0Great People, Tough BalanceMachine Learning Engineer • Current EmployeeShanghai, Shanghai, ChinaAugust 21, 2022Pros: Great people around. Great office and food. Teams are very young.Cons: Poor work-life balance. Heavy workload.
- 2.0Bytedance work experienceMachine Learning Engineer • Former EmployeeShanghai, ShanghaiDecember 28, 2025Pros: Nice employee benefit, global work experience, and large-scale business scenario.Cons: The management system is chaotic, with unclear OKRs that are frequently changed. There is high work pressure with severe overtime issues and a lot of office politics. There is little emphasis on employee growth.
- 4.0Too much work overtimeMachine Learning Engineer • Current EmployeeHangzhou, Zhejiang, ChinaMarch 17, 2022Pros: Good salary, extra traffic compensation.Cons: Too much work and pressure.
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