Machine Learning Engineer Interview Experience - Singapore
June 1, 2022
Negative ExperienceNo Offer
Process
Self-introduction.
Talked about past projects.
Explained some concepts behind deep learning.
30-minute coding test (not an LC question); the interviewer presented a coding question themselves.
Had some time to ask the interviewer some questions.
Questions
Talk about your past projects.
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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
Challenging but impacting, good for a try
Machine Learning Engineer • Former Employee
Beijing, Beijing, China
July 14, 2023
Pros: Good infrastructure, good benefits.
The company will help you fix everything like insurance and provide a free dining hall, except for work.
Great impact, as your work could influence users on Earth.
Cons: Too tired, high standard, no relax time, no work-life balance.
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
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
- 4.0Challenging but impacting, good for a tryMachine Learning Engineer • Former EmployeeBeijing, Beijing, ChinaJuly 14, 2023Pros: Good infrastructure, good benefits. The company will help you fix everything like insurance and provide a free dining hall, except for work. Great impact, as your work could influence users on Earth.Cons: Too tired, high standard, no relax time, no work-life balance.
- 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.
- 4.0Friendly 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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