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      Colloqui di GoogleColloqui per Software Engineer - Machine Learning presso GoogleColloquio di Google


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      Colloquio per Software Engineer - Machine Learning

      21 set 2022
      Candidato anonimo a colloquio
      Los Angeles, CA

      Altre recensioni di colloqui per Software Engineer - Machine Learning presso Google

      Colloquio per Software Engineer - Machine Learning

      4 lug 2023
      Dipendente anonimo
      New York, NY
      Offerta accettata
      Nessuna offerta
      Esperienza positiva
      Colloquio difficile

      Candidatura

      Ho presentato la mia candidatura tramite un selezionatore. La procedura ha richiesto 4 settimane. Ho sostenuto un colloquio presso Google (Los Angeles, CA) nel mese di ott 2021

      Colloquio

      I had a positive experience with everyone I interacted with in the process, but it was such a monumental task to prepare for the interview, I opted out before even doing the technical screen. My reasoning was due to lack of time to properly prepare, and not wanting to go into the tech screen without at least basic preparation. Some say to just do the screen anyway, and even if you're rejected, you can try again in 6 months. However, I really wasn't up to it for a variety of reasons. I let them know several weeks in advance of the tech screen that I needed to cancel, and they were very polite and said to reach out if I ever wanted to resume the interview process. I would do it again, if it was the right time and I had the resources to prepare. It is a serious endeavor, especially for someone like me with no academic comp sci background, but a masters in statistics, which only helps so much in an SE interview like this.

      Domande di colloquio [1]

      Domanda 1

      Did not make it this far - canceled before interivew. However the study materials sent to me by the recruiter included basic comp sci/SE data structures and algorithms, that I would need to code in a scripting language during the tech screen. The resources were great, very comprehensive, but so much that it would be best to pare down to the essentials. I learned a lot from looking up what other successful candidates had done for their prep. AlgoExpert was my favorite resource, along with books like Cracking the Coding Interview by Gayle Laakmann McDowell and some popular textbooks.
      Rispondi alla domanda
      Esperienza positiva
      Colloquio nella media

      Candidatura

      Ho presentato la mia candidatura tramite un selezionatore. Ho sostenuto un colloquio presso Google (New York, NY)

      Colloquio

      4 rounds (online) - 2 coding, 1 ML systems, 1 behavioral. Coding were standard leetcode style. ML system was expected. Behavioral was also the standard questions. All went pretty smoothly

      Domande di colloquio [1]

      Domanda 1

      Design a spam classifier (for NLP)
      Rispondi alla domanda

      Colloquio per Machine Learning Software Engineer

      29 gen 2023
      Candidato anonimo a colloquio
      Nessuna offerta
      Esperienza neutra
      Colloquio nella media

      Candidatura

      Ho sostenuto un colloquio presso Google

      Colloquio

      Screening interview is about a coding problem. It was a 45 mins interview. I had no question about machine Learning. It was only about coding and software engineering. The mistake I did is that I spent too much time explaining my approach on the first question. While the interviewer had more questions for me.

      Domande di colloquio [1]

      Domanda 1

      Python coding problem about trees
      Rispondi alla domanda
      2

      Colloquio per Machine Learning Software Engineer

      1 mar 2022
      Candidato anonimo a colloquio
      Nessuna offerta
      Esperienza neutra
      Colloquio difficile

      Candidatura

      Ho sostenuto un colloquio presso Google

      Colloquio

      Classical google interview process; HR phone call, Algorithm interview and other technical interviews. Good to have a feedback after every step from hr. However unnecessarily difficult algorithm problems are annoying, after 10 years they are still doing same, no improvement.

      Domande di colloquio [1]

      Domanda 1

      algorithm problem can be solved with dfs
      Rispondi alla domanda
      2