Machine Learning Engineer Interview Experience - San Jose, California
April 20, 2026
Neutral ExperienceNo Offer
Process
I applied through a recruiter. The process took 1 week.
First Round: A one-hour TikTok USDS phone screen interview that included questions about past projects, LeetCode medium questions, machine learning, deep learning, and large language models. It ended with an opportunity to ask the interviewer questions.
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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
5.0
Great Tech, Math Heavy
Machine Learning Engineer • Current Employee
San Jose, California, United States
October 20, 2025
Pros: The team is excellent, with a very modern tech stack. Candidates are expected to have strong data sensitivity and the ability to perform both online and offline data analysis and reasoning across the entire data and model pipeline. Of course, coding requirements are also high, especially for high-performance systems such as those built in C++.
Cons: Of course, a large part of the work involves solving problems through data analysis and modeling them using appropriate statistical and mathematical methods. Therefore, if someone is uncomfortable with mathematics, this role may not be a good fit.
5.0
Great Team, Sometimes Late
Machine Learning Engineer • Current Employee
San Jose, California, United States
October 6, 2025
Pros: Great team environment with great tech stacks.
Cons: Sometimes need to respond late.
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.
- 5.0Great Tech, Math HeavyMachine Learning Engineer • Current EmployeeSan Jose, California, United StatesOctober 20, 2025Pros: The team is excellent, with a very modern tech stack. Candidates are expected to have strong data sensitivity and the ability to perform both online and offline data analysis and reasoning across the entire data and model pipeline. Of course, coding requirements are also high, especially for high-performance systems such as those built in C++.Cons: Of course, a large part of the work involves solving problems through data analysis and modeling them using appropriate statistical and mathematical methods. Therefore, if someone is uncomfortable with mathematics, this role may not be a good fit.
- 5.0Great Team, Sometimes LateMachine Learning Engineer • Current EmployeeSan Jose, California, United StatesOctober 6, 2025Pros: Great team environment with great tech stacks.Cons: Sometimes need to respond late.
- 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.
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