Me postulé en línea. Acudí a una entrevista en TikTok en feb 2025
Entrevista
The interview process is recruiter call, followed by 3 technical rounds (each with a leetcode problem, resume overview, and ML questions), and a final HR round. Each technical round lasts around one hour, and I received a mix of medium and hard leetcode questions. For the ML portion, I was asked to mathematically derive the cross entropy loss, and code a Transformer block.
Preguntas de entrevista [1]
Pregunta 1
Leetcode: Binary Tree Maximum Path Sum, Serialize and Deserialize Binary Tree, Search in Rotated Sorted Array
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.
Preguntas de entrevista [1]
Pregunta 1
implementing K-means clustering from scratch and handling empty cluster edge cases
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.
