Me postulé a través de una recomendación de un empleado. El proceso tomó 5 semanas. Acudí a una entrevista en TikTok (Los Angeles, CA) en dic 2020
Entrevista
First a very hard OA with 4 questions. Maybe more than 2 hard questions which cannot be seen anywhere, but you do not need to pass all questions to get an interview. Then 3 tech interviews via zoom . All about coding. About 2 question per round. No machine learning questions in any round.
Preguntas de entrevista [1]
Pregunta 1
Permutation with a follow up, how to deal with the duplication. LRU (you cannot use package).
Started with a recruiter screen with simple checks. Then went through 3 rounds of interviews. First 2 rounds were live coding with deep dive on previous projects. 2nd round went really deep of every previous work I did from MLE perspective with being questioned of every possible decision choice. Last was interview with team manager.
Preguntas de entrevista [1]
Pregunta 1
Recommendation system questions. Coding problems were I remember leetcode medium level.
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