Machine Learning Engineer Interview Experience - Singapore, Singapore
October 1, 2020
Positive ExperienceNo Offer
Process
2 round: Coding interviews on both rounds after the assessment. To get into the interviews, must pass the take-home assessment, which lasts 2 hours. The questions are easy, so people need to finish all questions in order to pass.
Questions
Implementing a binary heap from scratch.
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Interview Statistics
The following metrics were computed from 7 interview experiences for the ByteDance Machine Learning Engineer role in Singapore, Singapore.
Success Rate
14%
Pass Rate
ByteDance's interview process for their Machine Learning Engineer roles in Singapore, Singapore is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive43%
Neutral14%
Negative43%
Candidates reported having mixed feelings for ByteDance's Machine Learning Engineer interview process in Singapore, Singapore.
ByteDance Work Experiences
5.0
ByteDance working experience
Machine Learning Engineer • Current Employee
Shanghai, Shanghai, China
May 10, 2024
Pros: Efficient work with smart people.
Cons: A little tired because I worked late.
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
Friendly culture, challenging work, awful WLB
Machine Learning Engineer • Former Employee
January 26, 2022
Pros: Cozy workspace, friendly and helpful culture, free food and snacks, challenging problems to work on.
Cons: Awful work routine, >10 hrs/day
- 5.0ByteDance working experienceMachine Learning Engineer • Current EmployeeShanghai, Shanghai, ChinaMay 10, 2024Pros: Efficient work with smart people.Cons: A little tired because I worked late.
- 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.
- 4.0Friendly culture, challenging work, awful WLBMachine Learning Engineer • Former EmployeeJanuary 26, 2022Pros: Cozy workspace, friendly and helpful culture, free food and snacks, challenging problems to work on.Cons: Awful work routine, >10 hrs/day
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