J'ai passé un entretien chez TikTok (Los Angeles, CA)
Entretien
Lack of Communication: From the outset, communication was severely lacking. After submitting my application, I waited over three weeks without any acknowledgment or update on my application status. When I reached out, responses were delayed and uninformative.
Disorganized Scheduling: Scheduling the interview was a nightmare. There were multiple rescheduling attempts on short notice, and at one point, I was left waiting for an hour without any explanation before the interviewer canceled.
Questions d'entretien [1]
Question 1
What is the difference between supervised and unsupervised learning?
Started with a recruiter screen with simple checks. Then went through 3 rounds of interviews. First 2 rounds were live coding with deep dive on previous projects. 2nd round went really deep of every previous work I did from MLE perspective with being questioned of every possible decision choice. Last was interview with team manager.
Questions d'entretien [1]
Question 1
Recommendation system questions. Coding problems were I remember leetcode medium level.
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.
Questions d'entretien [1]
Question 1
implementing K-means clustering from scratch and handling empty cluster edge cases
J'ai passé un entretien chez TikTok (San Jose, CA)
Entretien
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