Envié una solicitud electrónica. El proceso duró 2 meses. Acudí a una entrevista en TikTok en sept 2025
Entrevista
I applied online through a job board site for the San Jose office. The process took a little over two months. I had 6 rounds of interviews.
First round: First 45min ask about PhD research, last 15 min medium leetcode question (longest increasing subsequence problem).
Second round: First 30min ask about PhD research. Last 30min ML design question, "How to filter out gun violence from TikTok videos?"
Third round: First 30min ask about PhD research. Last 30min ML design question, "How to determine whether a hashtag is relevant to a video or not?"
Fourth Round: HR interview lasting 30sih minutes, basic behavioral questions like "how do you handle harsh criticism?" The interviewer mentioned that they had a tight headcount and that they would get back to me within a week or two.
I got contacted by two other HR members who said my profile got noticed by two other leaders and I would have two additional interview rounds. My understanding is that they filled the role for the original team they were thinking of matching me with (safety and trust team) and the search team was interested in now interviewing me.
5th round interview: TLM of the search team was interviewer. First 25 minutes describe PhD research, last 45 minutes ML design question, "How would you determine from a large set of sparse features which ones are the most important to use for predicting CTR on a TikTok video?"
6th Round Interview: Head of Search, USDS was interviewer. This was a "behavioral round" however, it was more about trying to sell myself why I should work on the search team. One question that was asked: "How would you handle a deadline that you couldn't make?"
Overall the interview experience took an incredibly long time and it was hard to understand why I didn't match to either team at the end. That being said each interviewer was polite, clear and helpful during the interviews.
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