Machine Learning Engineer Interview Experience - Singapore
May 1, 2024
Negative ExperienceNo Offer
Process
The entire interview is in Chinese. They ask medium to hard level LeetCode questions, and your solution must be optimal in both time and space complexity. The interviewer looks tired and is not interested in your working experience or past projects. They do not even ask any questions.
Questions
It is a two-pointer rank problem.
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Interview Statistics
The following metrics were computed from 7 interview experiences for the ByteDance Machine Learning Engineer role in Singapore.
Success Rate
14%
Pass Rate
ByteDance's interview process for their Machine Learning Engineer roles in 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.
ByteDance Work Experiences
3.0
Machine Learning Engineer
Machine Learning Engineer • Former Employee
San Jose, California, United States
September 29, 2025
Pros: Good base; weekly happy hour
Cons: Fast pace; night meeting; RSU vesting policy.
5.0
Great Food, Good Vibes
Machine Learning Engineer • Current Employee
San Jose, California, United States
June 19, 2025
Pros: - Great food service.
- Great working environment.
Cons: Potential political challenges in the US.
4.0
Great place to learn things quickly
Machine Learning Engineer • Current Employee
San Jose, California, United States
September 28, 2024
Pros: Higher salary than Meta and Google at the same level.
Cons: Low work-life balance in many teams.
- 3.0Machine Learning EngineerMachine Learning Engineer • Former EmployeeSan Jose, California, United StatesSeptember 29, 2025Pros: Good base; weekly happy hourCons: Fast pace; night meeting; RSU vesting policy.
- 5.0Great Food, Good VibesMachine Learning Engineer • Current EmployeeSan Jose, California, United StatesJune 19, 2025Pros: - Great food service. - Great working environment.Cons: Potential political challenges in the US.
- 4.0Great place to learn things quicklyMachine Learning Engineer • Current EmployeeSan Jose, California, United StatesSeptember 28, 2024Pros: Higher salary than Meta and Google at the same level.Cons: Low work-life balance in many teams.
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