Machine Learning Engineer Interview Experience - San Jose, California
Process
It's very efficient.
There were two rounds of tech interviews, but I did not survive the second round.
The first round involved two LeetCode problems of medium difficulty. The second round focused on machine learning system design, specifically designing a recommendation system to suggest restaurants based on user preferences.
Questions
The first leet-code is BFS.
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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
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
Candidates reported having good feelings for TikTok's Machine Learning Engineer interview process in San Jose, California.
TikTok Work Experiences
- 4.0Fast Learning, Challenging WlbMachine Learning Engineer • Current EmployeeSan Jose, California, United StatesAugust 29, 2025Pros: Learn a lot, very fast-paced.Cons: Bad work-life balance and lack of organization.
- 2.0Better be able to speak MandarinMachine Learning Engineer • Current EmployeeSan Jose, California, United StatesApril 29, 2024Pros: You can only speak Mandarin at work.Cons: It's hard to work here without speaking Mandarin.
- 4.0Comfortable, Growing, Lacking DiversityMachine Learning Engineer • Former EmployeeSan Jose, California, United StatesJuly 22, 2024Pros: A comfortable environment and a rapidly growing business.Cons: A large amount of the employees are Chinese, a little bit bad in diversity.
TikTok Interview Questions
