Process
120-minute Online Assessment.
It was very difficult to pass all test cases. I appeared for the assessment 20 days ago, but there has been no response yet.
The same assessment was used for both the software and machine learning positions. Since these are different roles requiring different levels of coding experience, I request that separate tests be provided for each.
Questions
Leetcode:
- 2 medium
- 1 hard
- 1 easy
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Interview Statistics
The following metrics were computed from 2 interview experiences for the TikTok Machine Learning role in United States.
Success Rate
0%
Pass Rate
TikTok's interview process for their Machine Learning roles in the United States is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive0%
Neutral100%
Negative0%
Candidates reported having mixed feelings for TikTok's Machine Learning interview process in United States.
TikTok Work Experiences
5.0
Friendly Team, Want Bigger Projects
Machine Learning • Current Employee
September 19, 2023
Pros: Access to relevant knowledge on the application of data science in AI.
There is a good working environment, and people are very friendly and help each other like classmates. You can learn and improve through work communication with colleagues.
Cons: Looking forward to the opportunity to participate in a more complete project content and enhance my knowledge application in the field of data science.
4.0
New Accounts, Much More Work
Machine Learning • Former Employee
July 23, 2022
Pros: Just to apply for the new account.
Cons: I still have a lot of things to do.
2.0
Great Pay, Late Nights
Machine Learning • Current Employee
San Jose, California, United States
February 26, 2025
Pros: Some good things: great pay & benefits.
Cons: Late night meetings and a lot of work.
- 5.0Friendly Team, Want Bigger ProjectsMachine Learning • Current EmployeeSeptember 19, 2023Pros: Access to relevant knowledge on the application of data science in AI. There is a good working environment, and people are very friendly and help each other like classmates. You can learn and improve through work communication with colleagues.Cons: Looking forward to the opportunity to participate in a more complete project content and enhance my knowledge application in the field of data science.
- 4.0New Accounts, Much More WorkMachine Learning • Former EmployeeJuly 23, 2022Pros: Just to apply for the new account.Cons: I still have a lot of things to do.
- 2.0Great Pay, Late NightsMachine Learning • Current EmployeeSan Jose, California, United StatesFebruary 26, 2025Pros: Some good things: great pay & benefits.Cons: Late night meetings and a lot of work.
TikTok Interview Questions
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