J'ai postulé via un établissement d'enseignement supérieur ou universitaire. Le processus a pris 1 semaine. J'ai passé un entretien chez TikTok (California City, CA) en nov. 2025
Entretien
Asked about my resume, my projects, questions about architectures that I used. Asked follow-up questions and went in-depth with my projects and mdoels.
Then asked me to code KL divergence, as I had mentioned that I used it in my projects.
This was followed by 2 ml coding questions
Questions d'entretien [1]
Question 1
Implement Single head and Multi head attention in pytorch. A follow up to this was use masking to mask out the later-on tokens.
Also asked me to implement KL divergence in python (but maybe this was because I talked about kl-divergence in my projects)
J'ai passé un entretien chez TikTok (San Jose, CA)
Entretien
The interview process consisted of multiple rounds including an online assessment, technical phone screens, and virtual onsite interviews. The questions focused on machine learning fundamentals, coding challenges, and system design. The recruiters were responsive and kept me updated throughout the entire process.
Asked heavily about my resume, mainly focused on the projects I did that had overlapped areas with the team. Did an easy coding question on calculating a ML metric and asked about how to optimize the solution.
Questions d'entretien [1]
Question 1
What was a metric I used in my recommender system project.
J'ai postulé en ligne. J'ai passé un entretien chez TikTok (Singapour) en févr. 2026
Entretien
The structure for both rounds is as follows:
20 mins deep dive into resume, explanation of personal projects & past experience, 20 mins testing about AIML concepts, 20 mins for leetcode medium
Questions d'entretien [1]
Question 1
Explain what would happen if bias was removed from the equation during backpropogation