Machine Learning Engineer Interview Experience - San Jose, California
June 1, 2025
Neutral ExperienceNo Offer
Process
There are numerous Machine Learning fundamental questions and a LeetCode hard coding question. Not many questions about the resume. There are even some unrelated questions regarding operating systems and computer networks.
Questions
How long does the biggest model you have built take to train?
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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
Good Team, Late Nights
Machine Learning Engineer • Current Employee
San Jose, California, United States
May 18, 2024
Pros: Good teamwork, diversity, and food.
Cons: Works too late into the night
4.0
Comfortable, Growing, Lacking Diversity
Machine Learning Engineer • Former Employee
San Jose, California, United States
July 22, 2024
Pros: A comfortable environment and a rapidly growing business.
Cons: A large amount of the employees are Chinese, a little bit bad in diversity.
4.0
Fast Learning, Challenging Wlb
Machine Learning Engineer • Current Employee
San Jose, California, United States
August 29, 2025
Pros: Learn a lot, very fast-paced.
Cons: Bad work-life balance and lack of organization.
- 4.0Good Team, Late NightsMachine Learning Engineer • Current EmployeeSan Jose, California, United StatesMay 18, 2024Pros: Good teamwork, diversity, and food.Cons: Works too late into the night
- 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.
- 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.
TikTok Interview Questions
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