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      Colloqui di MetaColloqui per Machine Learning Engineer presso MetaColloquio di Meta


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      Colloquio per Machine Learning Engineer

      1 ago 2024
      Candidato anonimo a colloquio
      San Francisco, CA
      Nessuna offerta
      Esperienza positiva
      Colloquio difficile

      Candidatura

      Ho presentato la mia candidatura tramite l'università. La procedura ha richiesto 2 mesi. Ho sostenuto un colloquio presso Meta (San Francisco, CA) nel mese di feb 2021

      Colloquio

      Recruiter reached out to me in January (we actually started communicating back in June 2020). Phone Screen Had phone screen early February. See post in the description. Full Loop The full loop was spread over two separate days (2 days apart). Day 1, Day 2 and decision on the second day after interview.

      Domande di colloquio [1]

      Domanda 1

      https://leetcode.com/problems/merge-intervals/ https://leetcode.com/problems/validate-binary-search-tree/ I summarized my experience in the referred post above. Scheduled full loop 2months ahead to have ample time for prep (but couldn't really cover much). First codding Interview: Two questions a. Find the maximum sub-tree sum (I couldn't find related question on leetcode). Essentially consider every node in the tree as the root, them calculate the sum of the nodes, then return the maximum such sum b. Variation of https://leetcode.com/problems/word-break/. Return the output as a concatenation with the words from the dictionary separated by single space. E.g string = "catsanddogs", wordDict = ["cat", "sand","cats","dog","and"], an output = "cat sand dogs" or "cats and dogs" Second coding Interview: Two questions a. Return top k integers with highest frequencies in an array: https://leetcode.com/problems/top-k-frequent-elements/ b. Course schedule: https://leetcode.com/problems/course-schedule-ii/ Behavioural interview + one coding question a. Typical workplace behaviour questions b. Find the length of the longest sub-array whose sum is target System design: Design a Machine Learning app that makes recommendation to users for places to visit along their trip. Focus is no the ML pipeline: Data, Features, Evaluation, Model-building, Feedback, Online testing, Offline testing Personal Assessment: Didn't give good account of myself (first time system design). ML system design: Design E2E classification pipeline for Facebook marketplace. Users post visual (photos) + textual descriptions. Lots of focus on the Model training practice + Feature Engineering + Feedback loop, as well as emphasis on theory Personal Assessment: Way better than 4. Calibration (Behaviour + Coding): a. Behaviour similar to 3 b. Given a linked list L, a value val, and position pos, insert val at the posth position in L (Not replace).
      1 risposta
      4

      Altre recensioni di colloqui per Machine Learning Engineer presso Meta

      Colloquio per Machine Learning Engineer

      6 apr 2026
      Candidato anonimo a colloquio
      Nessuna offerta
      Esperienza positiva
      Colloquio nella media

      Candidatura

      Ho sostenuto un colloquio presso Meta

      Colloquio

      Applied online. Received a recruiter screen within two weeks covering background and role fit. Followed by a technical phone screen with coding (LeetCode medium-hard, arrays/graphs). Then a virtual onsite with 4 rounds: 2 coding, 1 ML system design (recommendation/ranking system), and 1 behavioral. Interviewers were professional and gave time to ask questions. Results communicated within a week post-onsite.

      Colloquio per Machine Learning Engineer

      24 mar 2026
      Candidato anonimo a colloquio
      Londra, Inghilterra
      Nessuna offerta
      Esperienza positiva
      Colloquio facile

      Candidatura

      Ho sostenuto un colloquio presso Meta (Londra, Inghilterra)

      Colloquio

      First stage was a screen round with behavioral and 2 leetcodes, one medium one hard, 15-17 min each. If selected, loop is 4-6 interviews. 2 desgin, 2 coding, 1 behavioral.

      Domande di colloquio [1]

      Domanda 1

      idiotic questions that can't be answered in depth in 35 minutes design, like "your solution isn't going to work, how will you handle it?" yea no sht this is a baseline bro, wait 15 seconds and ill talk about the optimal one.
      Rispondi alla domanda

      Colloquio per Machine Learning Engineer

      12 mar 2026
      Candidato anonimo a colloquio
      Londra, Inghilterra
      Nessuna offerta
      Esperienza neutra
      Colloquio nella media

      Candidatura

      Ho presentato la mia candidatura tramite un selezionatore. Ho sostenuto un colloquio presso Meta (Londra, Inghilterra)

      Colloquio

      Standard Meta process. 1. Recruiter Call 2. Screening Call 3. Onsite Calls -4 rounds (2 coding, 1 ML design, 1 behavioral) Interviews were all nice except for behavioral. (wouldn't hurt to speak anything apart from okay-okay)

      Domande di colloquio [1]

      Domanda 1

      3 Leetcode medium and 1 hard.
      Rispondi alla domanda

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