Process
I spent the first approximately 30 minutes discussing past experiences. The interviewer asked machine learning questions related to my past projects. For the remaining time, I was given a medium-level LeetCode problem.
Questions
Asked questions related to experiences on the resume.
Was this helpful?
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
3.0
Learned Fast, Toxic Culture
Machine Learning Engineer • Current Employee
Singapore, Singapore
September 2, 2025
Pros: Fast-paced learning and exposure to large-scale systems.
Cons: Politics, favoritism, bias, toxicity, insulting.
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
Great Team, Sometimes Late
Machine Learning Engineer • Current Employee
San Jose, California, United States
October 6, 2025
Pros: Great team environment with great tech stacks.
Cons: Sometimes need to respond late.
- 3.0Learned Fast, Toxic CultureMachine Learning Engineer • Current EmployeeSingapore, SingaporeSeptember 2, 2025Pros: Fast-paced learning and exposure to large-scale systems.Cons: Politics, favoritism, bias, toxicity, insulting.
- 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.
- 5.0Great Team, Sometimes LateMachine Learning Engineer • Current EmployeeSan Jose, California, United StatesOctober 6, 2025Pros: Great team environment with great tech stacks.Cons: Sometimes need to respond late.
TikTok Interview Questions
Explore Interview QuestionsTaro 75Google Interview QuestionsMeta Interview QuestionsAmazon Interview QuestionsApple Interview QuestionsNetflix Interview Questions
Explore Interview ExperiencesOpenAI Interview ExperiencesAnthropic Interview ExperiencesPerplexity Interview ExperiencesWindsurf Interview ExperiencesMistral AI Interview Experiences
