Machine Learning Engineer Interview Experience - Chicago, Illinois
October 1, 2024
Negative ExperienceNo Offer
Process
The interview was not good because the interviewer was not interested in hiring. He didn't dig into my resume and instead asked questions unrelated to my projects. The coding portion of the interview was easy.
Questions
What is attention and how does it work?
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Interview Statistics
The following metrics were computed from 1 interview experience for the TikTok Machine Learning Engineer role in Chicago, Illinois.
Success Rate
0%
Pass Rate
TikTok's interview process for their Machine Learning Engineer roles in Chicago, Illinois is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive0%
Neutral0%
Negative100%
Candidates reported having very negative feelings for TikTok's Machine Learning Engineer interview process in Chicago, Illinois.
TikTok Work Experiences
4.0
A place where your work makes a real impact
Machine Learning Engineer • Former Employee
San Jose, California, United States
August 26, 2025
Pros: With a large user base and a small team, your work can make a real impact.
Cons: Not so much guidance.
Offices are located across the globe, and they work across different time zones.
5.0
Rewarding ML Engineering Role with Strong Growth Opportunities
Machine Learning Engineer • Former Employee
Beijing, Beijing, China
July 10, 2025
Pros: Cutting-edge projects, a supportive team, ample learning resources, competitive pay, and impactful AI implementations.
Cons: High expectations, tight deadlines, complex workflows, and constant changes, but growth is worth it.
4.0
Overall acceptable, but expected poor WLB
Machine Learning Engineer • Current Employee
Singapore, Singapore
October 27, 2025
Pros: quite a lot of challenges, and the colleagues are excellent.
Cons: Need to work overtime very often and have meetings at night.
- 4.0A place where your work makes a real impactMachine Learning Engineer • Former EmployeeSan Jose, California, United StatesAugust 26, 2025Pros: With a large user base and a small team, your work can make a real impact.Cons: Not so much guidance. Offices are located across the globe, and they work across different time zones.
- 5.0Rewarding ML Engineering Role with Strong Growth OpportunitiesMachine Learning Engineer • Former EmployeeBeijing, Beijing, ChinaJuly 10, 2025Pros: Cutting-edge projects, a supportive team, ample learning resources, competitive pay, and impactful AI implementations.Cons: High expectations, tight deadlines, complex workflows, and constant changes, but growth is worth it.
- 4.0Overall acceptable, but expected poor WLBMachine Learning Engineer • Current EmployeeSingapore, SingaporeOctober 27, 2025Pros: quite a lot of challenges, and the colleagues are excellent.Cons: Need to work overtime very often and have meetings at night.
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