Machine Learning Intern Interview Experience - San Jose, California
June 19, 2025
Neutral ExperienceNo Offer
Process
The first round interview was half behavioral and half technical. The interviewer asked about my experiences on my resume before proceeding to code.
The second round interview was all technical. I was given enough time to work on the problems.
Questions
BFS / DFS traversal, moderate difficulty
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Interview Statistics
The following metrics were computed from 1 interview experience for the ByteDance Machine Learning Intern role in San Jose, California.
Success Rate
0%
Pass Rate
ByteDance's interview process for their Machine Learning Intern roles in San Jose, California is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive0%
Neutral100%
Negative0%
Candidates reported having mixed feelings for ByteDance's Machine Learning Intern interview process in San Jose, California.
ByteDance Work Experiences
4.0
Good Mentor, Tough Hours
Machine Learning Intern • Current Employee
March 23, 2025
Pros: Mentor is good and careful. Learned a lot of tech skills.
Cons: Tiring. The business is not very stable.
5.0
Machine learning intern
Machine Learning Intern • Former Employee
Beijing, Beijing, China
November 25, 2024
Pros: Free food and free drinks. Experienced engineers, continuous learning, and encouragement for personal growth.
Cons: Too many drinks are being handed out.
4.0
High-Velocity Engineering: Rapid Growth and Technical Challenge
Software Engineer • Former Employee
San Jose, California, United States
November 13, 2025
Pros: Exposure to massive-scale systems and high-concurrency challenges.
The tech stack is cutting-edge and constantly evolving.
Direct impact on global-scale products.
The culture encourages proactive, ownership-driven work.
Highly competitive compensation and excellent daily perks.
Cons: Work-life balance is often challenging due to extremely fast development cycles. High pressure to deliver quickly can sometimes lead to technical debt. The organization is always restructuring, causing some instability. On-call duties and extended hours are frequent expectations.
- 4.0Good Mentor, Tough HoursMachine Learning Intern • Current EmployeeMarch 23, 2025Pros: Mentor is good and careful. Learned a lot of tech skills.Cons: Tiring. The business is not very stable.
- 5.0Machine learning internMachine Learning Intern • Former EmployeeBeijing, Beijing, ChinaNovember 25, 2024Pros: Free food and free drinks. Experienced engineers, continuous learning, and encouragement for personal growth.Cons: Too many drinks are being handed out.
- 4.0High-Velocity Engineering: Rapid Growth and Technical ChallengeSoftware Engineer • Former EmployeeSan Jose, California, United StatesNovember 13, 2025Pros: Exposure to massive-scale systems and high-concurrency challenges. The tech stack is cutting-edge and constantly evolving. Direct impact on global-scale products. The culture encourages proactive, ownership-driven work. Highly competitive compensation and excellent daily perks.Cons: Work-life balance is often challenging due to extremely fast development cycles. High pressure to deliver quickly can sometimes lead to technical debt. The organization is always restructuring, causing some instability. On-call duties and extended hours are frequent expectations.
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