ML Engineer Interview Experience - Seattle, Washington
June 14, 2026
Negative ExperienceNo Offer
Process
It is a highly technical interview, with coding sessions that need to be run and checking the results. It is common to have weekend and evening meetings with Asian teams. They tend to speak Chinese during the interview.
Questions
The topics were ML basics, past experience, and why you left your current role.
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Interview Statistics
The following metrics were computed from 1 interview experience for the TikTok ML Engineer role in Seattle, Washington.
Success Rate
0%
Pass Rate
TikTok's interview process for their ML Engineer roles in Seattle, Washington is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive0%
Neutral0%
Negative100%
Candidates reported having very negative feelings for TikTok's ML Engineer interview process in Seattle, Washington.
TikTok Work Experiences
4.0
Fast Work, Tricky Comms
ML Engineer • Former Employee
September 28, 2024
Pros: Move very quickly, making it easy to get things done.
Cons: Cross time-zone / language communication
3.0
Learn Ml, Worried Future
ML Engineer • Current Employee
San Jose, California, United States
March 24, 2025
Pros: Good opportunity to learn ML Engineering.
Cons: Uncertainty for company future and legal battle
1.0
Autonomy, But No Growth
ML Engineer • Current Employee
November 26, 2022
Pros: - Large scope of work with little oversight.
Cons: - No structure to teams, constant reorgs.
- Focus on promoting work over doing it.
- Little to no career/salary growth.
- 4.0Fast Work, Tricky CommsML Engineer • Former EmployeeSeptember 28, 2024Pros: Move very quickly, making it easy to get things done.Cons: Cross time-zone / language communication
- 3.0Learn Ml, Worried FutureML Engineer • Current EmployeeSan Jose, California, United StatesMarch 24, 2025Pros: Good opportunity to learn ML Engineering.Cons: Uncertainty for company future and legal battle
- 1.0Autonomy, But No GrowthML Engineer • Current EmployeeNovember 26, 2022Pros: - Large scope of work with little oversight.Cons: - No structure to teams, constant reorgs. - Focus on promoting work over doing it. - Little to no career/salary growth.
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