J'ai postulé en ligne. J'ai passé un entretien chez TikTok (Sydney) en déc. 2024
Entretien
Interview Experience at TikTok
I recently interviewed for a Machine Learning Engineer position at TikTok, and it was a great experience overall.
The first round focused on my experience with machine learning and software development. They asked about my past projects, including a movie question-answering system using a knowledge graph. I also had to solve a coding challenge involving a sequence-to-sequence model with attention. The interviewer was engaging and gave helpful feedback.
The second round was more about teamwork and problem-solving. I shared my experience leading a team for a knowledge graph project, explaining how I managed tasks and overcame challenges. They appreciated my focus on collaboration and innovation.
In the final round, I gave a brief presentation on the research paper "General OCR Theory: Towards OCR-2.0", highlighting its potential applications. The panel seemed impressed by my ability to connect research insights to practical use cases.
The interviewers were professional and friendly. The process was challenging yet rewarding, and I felt it was a great opportunity to showcase both my technical and leadership skills.
Questions d'entretien [1]
Question 1
How do you handle overfitting in a machine learning model?
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.
Questions d'entretien [1]
Question 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.
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