Process
Two turns. Back-to-back.
Every turn involves:
- Algorithm design (like LeetCode easy to medium)
- Resume questions (e.g., "What algorithm was used in one of your projects?")
- Machine learning-related questions (e.g., "Explain SVM.")
Questions
What is SVM?
What if the dataset is not linearly separable?
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Interview Statistics
The following metrics were computed from 12 interview experiences for the ByteDance Machine Learning Engineer role in United States.
Success Rate
25%
Pass Rate
ByteDance's interview process for their Machine Learning Engineer roles in the United States is very selective, failing most engineers who go through it.
Experience Rating
Positive58%
Neutral33%
Negative8%
Candidates reported having very good feelings for ByteDance's Machine Learning Engineer interview process in United States.
ByteDance Work Experiences
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.
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.
1.0
NA
Machine Learning Engineer • Current Employee
San Jose, CA
March 3, 2026
Pros: There are very few pros working here.
Cons: Almost everything you can think of: pay, WLB, management style, and prospects of promotion.
- 4.0Too much work overtimeMachine Learning Engineer • Current EmployeeHangzhou, Zhejiang, ChinaMarch 17, 2022Pros: Good salary, extra traffic compensation.Cons: Too much work and pressure.
- 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.
- 1.0NAMachine Learning Engineer • Current EmployeeSan Jose, CAMarch 3, 2026Pros: There are very few pros working here.Cons: Almost everything you can think of: pay, WLB, management style, and prospects of promotion.
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