Machine Learning Engineer Interview Experience - San Francisco, California
February 9, 2026
Neutral ExperienceNo Offer
Process
I applied online. The process took two weeks.
I was first reached out by a recruiter and had a phone screening with them.- Then I was invited for a coding interview, which was a medium LeetCode question.- Then I was invited to a technical interview.
Questions
There was a medium LeetCode question and in-depth technical questions.
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Interview Statistics
The following metrics were computed from 5 interview experiences for the TikTok Machine Learning Engineer role in San Francisco, California.
Success Rate
0%
Pass Rate
TikTok's interview process for their Machine Learning Engineer roles in San Francisco, California is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive20%
Neutral60%
Negative20%
Candidates reported having mixed feelings for TikTok's Machine Learning Engineer interview process in San Francisco, California.
TikTok Work Experiences
3.0
Bad work-life balance
Machine Learning Engineer • Current Employee
San Jose, California, United States
January 23, 2025
Pros: Learned a lot.
Good compensation.
Allows you a lot of work travel flexibility.
Cons: If you don't speak Chinese, you are at a severe disadvantage. I spoke Chinese and was still majorly disadvantaged.
There is no support for new employees. The onboarding process has very little structure.
3.0
Learned Fast, Toxic Culture
Machine Learning Engineer • Current Employee
Singapore, Singapore
September 2, 2025
Pros: Fast-paced learning and exposure to large-scale systems.
Cons: Politics, favoritism, bias, toxicity, insulting.
4.0
Great Pay, Terrible Balance
Machine Learning Engineer • Current Employee
Singapore, Singapore
September 25, 2020
Pros: High salary for the employee
Cons: Bad work and life balance.
- 3.0Bad work-life balanceMachine Learning Engineer • Current EmployeeSan Jose, California, United StatesJanuary 23, 2025Pros: Learned a lot. Good compensation. Allows you a lot of work travel flexibility.Cons: If you don't speak Chinese, you are at a severe disadvantage. I spoke Chinese and was still majorly disadvantaged. There is no support for new employees. The onboarding process has very little structure.
- 3.0Learned Fast, Toxic CultureMachine Learning Engineer • Current EmployeeSingapore, SingaporeSeptember 2, 2025Pros: Fast-paced learning and exposure to large-scale systems.Cons: Politics, favoritism, bias, toxicity, insulting.
- 4.0Great Pay, Terrible BalanceMachine Learning Engineer • Current EmployeeSingapore, SingaporeSeptember 25, 2020Pros: High salary for the employeeCons: Bad work and life balance.
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