Process
My interview process consisted of three stages:
- An initial technical screen with a junior MLE.
- A deeper technical round with a senior MLE.
- A final meeting with the hiring manager.
After the final interview, communication ceased entirely. A rejection notice finally arrived over a month later.
Questions
Build an ML pipeline to rank the sellers.
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Interview Statistics
The following metrics were computed from 1 interview experience for the TikTok MLE Specialist role in Switzerland.
Success Rate
0%
Pass Rate
TikTok's interview process for their MLE Specialist roles in Switzerland is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive0%
Neutral100%
Negative0%
Candidates reported having mixed feelings for TikTok's MLE Specialist interview process in Switzerland.
TikTok Work Experiences
4.0
Cool Llm Work, Communication Issues
MLE Specialist • Current Employee
Bellevue, Washington, United States
October 30, 2025
Pros: Work on accelerating training and inference of LLMs and deep learning models; the topic is cool.
Get a chance to write Triton and CUDA code. Knowing the low-level things will enhance understanding of ML concepts.
Good food delivery and boba tea every Friday!
Cons: There could be some pressure during work.
It's bad if you do not know Chinese, if you need to collaborate with the mainland.
4.0
Good People, Language Barrier
Software Engineer • Current Employee
Singapore, Singapore
May 27, 2024
Pros: Good people, good environment.
Work-life balance depends on the team.
Cons: • Chinese practically needed to function normally
• Need to "manage upwards"
4.0
Good place to work
QA Analyst • Current Employee
Ciudad de Mexico, Mexico City, Mexico
January 31, 2025
Pros: - Job stability
- Benefits well above legal requirements
- Hybrid work
- Work flexibility
- Wellhub
- Monthly Team Buildings
Cons: Leadership is not constantly trained and they do not always meet all the requirements of the vacancy, so how good the leadership is is defined by the leader's desire to be a better leader and not by prior training or preparation for the position.
It is very difficult to move positions and HR does not respond or often takes weeks to respond to issues related to promotions.
- 4.0Cool Llm Work, Communication IssuesMLE Specialist • Current EmployeeBellevue, Washington, United StatesOctober 30, 2025Pros: Work on accelerating training and inference of LLMs and deep learning models; the topic is cool. Get a chance to write Triton and CUDA code. Knowing the low-level things will enhance understanding of ML concepts. Good food delivery and boba tea every Friday!Cons: There could be some pressure during work. It's bad if you do not know Chinese, if you need to collaborate with the mainland.
- 4.0Good People, Language BarrierSoftware Engineer • Current EmployeeSingapore, SingaporeMay 27, 2024Pros: Good people, good environment. Work-life balance depends on the team.Cons: • Chinese practically needed to function normally • Need to "manage upwards"
- 4.0Good place to workQA Analyst • Current EmployeeCiudad de Mexico, Mexico City, MexicoJanuary 31, 2025Pros: - Job stability - Benefits well above legal requirements - Hybrid work - Work flexibility - Wellhub - Monthly Team BuildingsCons: Leadership is not constantly trained and they do not always meet all the requirements of the vacancy, so how good the leadership is is defined by the leader's desire to be a better leader and not by prior training or preparation for the position. It is very difficult to move positions and HR does not respond or often takes weeks to respond to issues related to promotions.
TikTok Interview Questions
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