Machine Learning Engineer Interview Experience - United States
July 28, 2025
Positive ExperienceNo Offer
Process
The interview started with discussions on project experiences, followed by questions on deep learning architectures (diffusion models, recommendation systems, etc.).
Two mid-level LeetCode questions were then asked, covering:
- Binary trees
- Dynamic programming
Questions
Diffusion models, recommendation systems, LeetCode questions.
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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
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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