Machine Learning Engineer Interview Experience - San Jose, California
April 16, 2026
Positive ExperienceGot Offer
Process
There were three rounds, and each round had coding, basic ML, and resume-related questions. It is important to understand all the details in your resume, since they might go very deep down into the project that you have worked on.
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Interview Statistics
The following metrics were computed from 29 interview experiences for the TikTok Machine Learning Engineer role in San Jose, California.
Success Rate
24%
Pass Rate
TikTok's interview process for their Machine Learning Engineer roles in San Jose, California is very selective, failing most engineers who go through it.
Experience Rating
Positive31%
Neutral48%
Negative21%
Candidates reported having good feelings for TikTok's Machine Learning Engineer interview process in San Jose, California.
TikTok Work Experiences
4.0
Big Company, Good Pay, Tough Test
Machine Learning Engineer • Current Employee
San Jose, California, United States
September 27, 2023
Pros: Big company, good pay, sponsor.
Cons: Code test is not easy.
4.0
A place where your work makes a real impact
Machine Learning Engineer • Former Employee
San Jose, California, United States
August 26, 2025
Pros: With a large user base and a small team, your work can make a real impact.
Cons: Not so much guidance.
Offices are located across the globe, and they work across different time zones.
3.0
Good Pay, Bad Work-life
Machine Learning Engineer • Current Employee
San Jose, California, United States
February 12, 2025
Pros: Good salary and yearly compensation.
Cons: Bad work-life balance. You need to learn Mandarin.
- 4.0Big Company, Good Pay, Tough TestMachine Learning Engineer • Current EmployeeSan Jose, California, United StatesSeptember 27, 2023Pros: Big company, good pay, sponsor.Cons: Code test is not easy.
- 4.0A place where your work makes a real impactMachine Learning Engineer • Former EmployeeSan Jose, California, United StatesAugust 26, 2025Pros: With a large user base and a small team, your work can make a real impact.Cons: Not so much guidance. Offices are located across the globe, and they work across different time zones.
- 3.0Good Pay, Bad Work-lifeMachine Learning Engineer • Current EmployeeSan Jose, California, United StatesFebruary 12, 2025Pros: Good salary and yearly compensation.Cons: Bad work-life balance. You need to learn Mandarin.
TikTok Interview Questions
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