Machine Learning Intern Interview Experience - San Jose, California
May 1, 2025
Positive ExperienceNo Offer
Process
They began with questions based on my resume, asking about my projects and their impact.
Then, we moved on to a couple of easy algorithm problems:
- Binary search
- A combinations question you can find on LeetCode.
Finally, given my background, they asked a few machine learning questions focused on recent work.
Questions
ResNet and XGBoost, binary search and combinations.
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Interview Statistics
The following metrics were computed from 3 interview experiences for the TikTok Machine Learning Intern role in San Jose, California.
Success Rate
0%
Pass Rate
TikTok's interview process for their Machine Learning Intern roles in San Jose, California is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive67%
Neutral0%
Negative33%
Candidates reported having very good feelings for TikTok's Machine Learning Intern interview process in San Jose, California.
TikTok Work Experiences
5.0
TikTok - Someone hates it, someone likes it.
Machine Learning Intern • Current Employee
San Jose, California, United States
August 24, 2025
Pros: • Competitive compensation and comprehensive company policies.
• Excellent in-house cafeteria with a wide variety of food options.
• Strong and modern technical stack.
• Robust alumni network, especially from CMU and other top schools.
Cons: Certain compliance risks exist due to the nature of the business.
TTP (Trusted Technology Partner) environments impose strict access control, making it difficult for regular engineers to debug user-level details.
4.0
Interesting work, a lot of pressure though.
Machine Learning Intern • Current Employee
November 3, 2025
Pros: The work is interesting, and they are flexible about the methods and research you do, since they only care about performance and efficiency.
Cons: Obviously, they prefer Chinese speakers. Also, they expect you to work and attend meetings after hours.
5.0
Friendly Team, Time Zone Challenges
Software Development Engineer (SDE) • Former Employee
San Jose, California, United States
November 23, 2025
Pros: The people here are friendly, and the food is good.
Cons: You need to get a meeting with the team based in another country.
- 5.0TikTok - Someone hates it, someone likes it.Machine Learning Intern • Current EmployeeSan Jose, California, United StatesAugust 24, 2025Pros: • Competitive compensation and comprehensive company policies. • Excellent in-house cafeteria with a wide variety of food options. • Strong and modern technical stack. • Robust alumni network, especially from CMU and other top schools.Cons: Certain compliance risks exist due to the nature of the business. TTP (Trusted Technology Partner) environments impose strict access control, making it difficult for regular engineers to debug user-level details.
- 4.0Interesting work, a lot of pressure though.Machine Learning Intern • Current EmployeeNovember 3, 2025Pros: The work is interesting, and they are flexible about the methods and research you do, since they only care about performance and efficiency.Cons: Obviously, they prefer Chinese speakers. Also, they expect you to work and attend meetings after hours.
- 5.0Friendly Team, Time Zone ChallengesSoftware Development Engineer (SDE) • Former EmployeeSan Jose, California, United StatesNovember 23, 2025Pros: The people here are friendly, and the food is good.Cons: You need to get a meeting with the team based in another country.
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