Machine Learning Engineer Interview Experience - Seattle, Washington
November 6, 2024
Negative ExperienceNo Offer
Process
The interview will last 1.5 hours.
It will consist of 30 minutes for LeetCode dynamic programming coding questions and one hour for technical questions based on my resume. The interviewer delved deep into any machine learning skills I had.
Questions
Go through a machine learning model you are familiar with.
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Interview Statistics
The following metrics were computed from 12 interview experiences for the TikTok Machine Learning Engineer role in Seattle, Washington.
Success Rate
0%
Pass Rate
TikTok's interview process for their Machine Learning Engineer roles in Seattle, Washington is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive42%
Neutral25%
Negative33%
Candidates reported having mixed feelings for TikTok's Machine Learning Engineer interview process in Seattle, Washington.
TikTok Work Experiences
5.0
Great place for making impacts
Machine Learning Engineer • Former Employee
Seattle, Washington, United States
April 9, 2025
Pros: A fast-moving culture promotes rapid development and experimentation, and you can propose and execute end-to-end projects with minimal red tape.
Cons: The rapid deployment of projects leads to a lack of overall engineering rigor and mentorship. Lots of ML knowledge can be half-baked, and results are not understood well.
5.0
TikTok is a great workplace
Machine Learning Engineer • Current Employee
Seattle, Washington, United States
July 4, 2025
Pros: Wok Culture, Work-life balance, Rapid innovation, Creativity, and Employee benefits
Cons: It is a great working place, and I don't think it has any cons.
5.0
Good Money, Bad Balance
Machine Learning Engineer • Current Employee
Seattle, Washington, United States
August 3, 2024
Pros: They gave money and hired a lot.
Cons: Culture and work-life balance
- 5.0Great place for making impactsMachine Learning Engineer • Former EmployeeSeattle, Washington, United StatesApril 9, 2025Pros: A fast-moving culture promotes rapid development and experimentation, and you can propose and execute end-to-end projects with minimal red tape.Cons: The rapid deployment of projects leads to a lack of overall engineering rigor and mentorship. Lots of ML knowledge can be half-baked, and results are not understood well.
- 5.0TikTok is a great workplaceMachine Learning Engineer • Current EmployeeSeattle, Washington, United StatesJuly 4, 2025Pros: Wok Culture, Work-life balance, Rapid innovation, Creativity, and Employee benefitsCons: It is a great working place, and I don't think it has any cons.
- 5.0Good Money, Bad BalanceMachine Learning Engineer • Current EmployeeSeattle, Washington, United StatesAugust 3, 2024Pros: They gave money and hired a lot.Cons: Culture and work-life balance
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