Process
A recruiter reached out to me via LinkedIn, followed by three technical interviews.
The process felt pretty disingenuous. The interviewers seemed disengaged, and I never got a real sense of what they were working on or why it was interesting.
Questions
LeetCode medium questions, ML theory and design questions, Past projects
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Interview Statistics
The following metrics were computed from 125 interview experiences for the TikTok Machine Learning Engineer role in United States.
Success Rate
9%
Pass Rate
TikTok's interview process for their Machine Learning Engineer roles in the United States is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive34%
Neutral46%
Negative20%
Candidates reported having good feelings for TikTok's Machine Learning Engineer interview process in United States.
TikTok Work Experiences
3.0
Good learning opportunities, but intense work
Machine Learning Engineer • Current Employee
Singapore, Singapore
May 14, 2025
Pros: Plenty of things to learn and problems to tackle.
Cons: Tech might be a bit outdated.
Work-life balance is not the best.
3.0
Travel, Workload, Chinese Essential
Machine Learning Engineer • Current Employee
Vancouver, British Columbia, Canada
August 15, 2025
Pros: Travel a lot (if you like).
Huge scope for new grads (I think only TikTok dares to do this).
Cons: If you don't speak Chinese, run away.
Crazy workload.
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.
- 3.0Good learning opportunities, but intense workMachine Learning Engineer • Current EmployeeSingapore, SingaporeMay 14, 2025Pros: Plenty of things to learn and problems to tackle.Cons: Tech might be a bit outdated. Work-life balance is not the best.
- 3.0Travel, Workload, Chinese EssentialMachine Learning Engineer • Current EmployeeVancouver, British Columbia, CanadaAugust 15, 2025Pros: Travel a lot (if you like). Huge scope for new grads (I think only TikTok dares to do this).Cons: If you don't speak Chinese, run away. Crazy workload.
- 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.
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