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      Entretiens chez TikTokEntretiens d’embauche pour Machine Learning Engineer chez TikTokEntretien chez TikTok


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      Entretien pour Machine Learning Engineer

      29 sept. 2025
      Candidat à l'entretien anonyme
      Aucune offre
      Expérience neutre
      Entretien moyen

      Candidature

      J'ai postulé en ligne. Le processus a pris 2 mois. J'ai passé un entretien chez TikTok en sept. 2025

      Entretien

      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.

      Questions d'entretien [1]

      Question 1

      Longest Increasing Subsequence Leetcode problem
      Répondre à cette question

      Autres retours d’entretien d’embauche pour un poste comme Machine Learning Engineer chez TikTok

      Entretien pour Machine Learning Engineer

      16 avr. 2026
      Employé (anonyme)
      San Jose, CA
      Offre acceptée
      Expérience positive
      Entretien moyen

      Candidature

      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

      Entretien pour Machine Learning Engineer

      14 mars 2026
      Candidat à l'entretien anonyme
      Aucune offre
      Expérience neutre
      Entretien moyen

      Candidature

      J'ai passé un entretien chez TikTok

      Entretien

      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.

      Questions d'entretien [1]

      Question 1

      Explain the architecture of Transformer.
      Répondre à cette question

      Entretien pour Machine Learning Engineer

      20 avr. 2026
      Candidat à l'entretien anonyme
      San Jose, CA
      Aucune offre
      Expérience neutre
      Entretien difficile

      Candidature

      J'ai postulé via un recruteur. Le processus a pris 1 semaine. J'ai passé un entretien chez TikTok (San Jose, CA) en mars 2026

      Entretien

      one hour first round tiktok usds phone screen interview. past projects questions, leetcode mid questions, and machine learning, deep learning, large language model questions. And then ask the interviewer questions.