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
Interview questions [1]
Question 1
Tell me about yourself and background introduction
Tough. Extremely difficult. Focus a lot on tech and no story telling.
Keep in mind that you should always scope out your own project, otherwise you will fail just like me
Straightforward and sightly transparent as possible . I wish I could share more but signed an NDA. All the rounds were same, there was no clarity the recruiter gave for the levelling I kept on asking her though.