Process
Around early February, I received an interview invitation for a Machine Learning Engineer position. Here is my timeline:
- February 12: 1st technical round
- February 18: 2nd technical round
- February 26: Hiring Manager round
- February 27: Received rejection
Questions
Given N i.i.d. Gaussian random variables, what is the distribution of their linear combination?
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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
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
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
Smart Team, Late Meetings
Machine Learning Engineer • Current Employee
Mountain View, California, United States
August 19, 2023
Pros: Young and smart colleague. Very strong business. Good career growth and scope. We can get things done. Moving fast.
Cons: Communication with the Chinese team.
Late night meetings.
- 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.
- 4.0Comfortable, 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.
- 4.0Smart Team, Late MeetingsMachine Learning Engineer • Current EmployeeMountain View, California, United StatesAugust 19, 2023Pros: Young and smart colleague. Very strong business. Good career growth and scope. We can get things done. Moving fast.Cons: Communication with the Chinese team. Late night meetings.
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