Process
In total, I have 2 tech interviews and 1 interview with the HM.
Tech interviews are mostly about LeetCode questions with follow-ups, CV deep dives, and research exploration.
Questions
Will adversarial attacks be useful in LLMs?
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Interview Statistics
The following metrics were computed from 125 interview experiences for the TikTok Machine Learning Engineer role in United States.
Success Rate
9%
Pass Rate
TikTok's interview process for their Machine Learning Engineer roles in the United States is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive34%
Neutral46%
Negative20%
Candidates reported having good feelings for TikTok's Machine Learning Engineer interview process in United States.
TikTok Work Experiences
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.
5.0
Fast Growth, Work-life Balance
Machine Learning Engineer • Current Employee
Bellevue, Washington, United States
February 1, 2025
Pros: Fast growth of business and product.
Cons: work-life balance is concerned
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.
- 5.0Rewarding 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.
- 5.0Fast Growth, Work-life BalanceMachine Learning Engineer • Current EmployeeBellevue, Washington, United StatesFebruary 1, 2025Pros: Fast growth of business and product.Cons: work-life balance is concerned
- 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.
TikTok Interview Questions
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