Me postulé a través de una facultad o universidad. El proceso tomó 1 semana. Acudí a una entrevista en TikTok (California City, CA) en nov 2025
Entrevista
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
Preguntas de entrevista [1]
Pregunta 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)
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.
Preguntas de entrevista [1]
Pregunta 1
What was a metric I used in my recommender system project.
Me postulé en línea. Acudí a una entrevista en TikTok (Singapur) en feb 2026
Entrevista
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
Preguntas de entrevista [1]
Pregunta 1
Explain what would happen if bias was removed from the equation during backpropogation
