J'ai postulé en ligne. Le processus a pris 2 semaines. J'ai passé un entretien chez TikTok (Singapour) en mars 2024
Entretien
Basic knowledge of machine learning, computer vision and Large Language Model
The detail of applyling deep leanring framework
Fundamental model of deep learning and computer vision such as CNN, ResNet, Transformer
System Design and Question-Behavior
Questions d'entretien [1]
Question 1
Example Qeustion:
Please talk about Sora.
What's theory of diffusion model
How to complete the alignment of different modal information in multimodal Large Language Model?
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
The first round was mainly a CV walkthrough.
The second round focused in depth on one specific project.
Both rounds also included LeetCode medium-level problems.
The third round was with the hiring manager with both project and problems for their business.