J'ai passé un entretien chez TikTok (Seattle, WA) en juin 2025
Entretien
Application & Recruiter Screen
Format: 30–45 min phone or video call
Focus: Your background, motivation for TikTok, “Always Day 1” culture fit, plus 1–2 high‐level ML questions (e.g., supervised vs. unsupervised learning, evaluation metrics)
2. Technical Online Assessment
Format: Coding problems (LeetCode-medium) + ML fundamentals quiz
Focus: Data structures & algorithms under time pressure, plus short ML/system design questions on feature engineering, model evaluation, etc.
3. Deep‐Dive Technical Round
Duration: ~60 min
Focus: Advanced ML algorithms and mathematical foundations (e.g., collaborative filtering, neural nets, bias–variance trade-off), often with follow-up on your past projects
Questions d'entretien [1]
Question 1
Tell me about yourself and background introduction
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