Machine Learning Engineer Interview Experience - Seattle, Washington
November 25, 2025
Neutral ExperienceNo Offer
Process
4 rounds in total:
- 1 round with HR (15-30 minutes)
- 2 rounds of tech interview (each 1 hour with medium-hard LC, ML questions, system design)
- 1 final round (behavioral questions, about 1 hour)
Questions
30 mins ML questions regarding the resume. 30 mins LC medium (BFS)
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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
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
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
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
- 5.0TikTok is a great workplace.Machine 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.
- 5.0Great place for making impacts.Machine 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.
- 5.0Good 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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