My interview process at TikTok began with an HR screening, where basic questions about my background and my interest in the role were discussed. This was followed by two technical rounds. The first technical round focused on machine learning questions, assessing my knowledge and application skills in the field. The second round included a coding test, which challenged my ability to solve problems using code effectively. Both rounds were designed to evaluate my technical proficiency and problem-solving capabilities in real-time scenarios relevant to the job role I was applying for.
Interview questions [1]
Question 1
they love leetcode problem and you shoud prepare for it.
Surprisingly straightforward — I expected a tougher challenge for a machine learning role. After a quick recruiter screen, the first technical round focused on implementing K-means clustering, which felt familiar. Handling edge cases for empty clusters was tricky, though. What really helped me prep were the algorithm explanations on PracHub, which gave me confidence going in. The final interviews were a mix of problem-solving and behavioral questions, and in the end, I received an offer that I accepted. Overall, it was a decent experience.
Interview questions [1]
Question 1
implementing K-means clustering from scratch and handling empty cluster edge cases
three rounds, each has coding + ml basic + resume related questions
understand all the details in resume is important, since might go very deep down the project you have worked on
The first round was mainly a CV walkthrough.
The second round focused in depth on one specific project.
Both rounds also included LeetCode medium-level problems.
The third round was with the hiring manager with both project and problems for their business.
