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      Recherches associées: Avis sur DeepL | Offres d’emploi chez DeepL | Salaires chez DeepL | Avantages sociaux chez DeepL
      Entretiens chez DeepLEntretiens d’embauche pour Research Scientist chez DeepLEntretien chez DeepL


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      Entretien pour Research Scientist

      17 avr. 2026
      Candidat à l'entretien anonyme
      Aucune offre
      Expérience neutre
      Entretien moyen

      Candidature

      J'ai passé un entretien chez DeepL

      Entretien

      The whole intrview process was professional and well organanized. All of the interviewers were very polite and friendly. They also have an AI note taker in each interview. I had 3 intervews with them overall. The first one was with a member of their talent acquisition team who also asked some unexpected random python questions!! The second interview was about general machine learning and python understanding, Questions like what happens if we run this or the difference between data structures. The third interview was about live python coding, solving some NLP problems and also guessing the outputs of some python scripts. I got rejected after the third coding interview even though I did solved the main challange and answered most of the other questions correcly. I guess they have to filter the candidates from the pool somehow, but it seems like they dont consider your new role or your prior experience when evaluating your coding. The main issue i see is the fact that in each stage there is only one person evaluating your skills. So at the end I had feedbacks like 1. we are impressed by your deep learning skills. 2. your python is not good enough. I dont blame them for selecing the top ones but good deep learning skills usually dont come for free.

      Questions d'entretien [1]

      Question 1

      1. Difference between list, tuple, arrays, how they are stored in memory and which is is faster. 2. given a simple NN, what happens if output variance is too high? how to solve this? how to compute the gradient by hand, making sure you know the basic knowledge behind backprop. 3. given some string like ((1+(3+8))+((7+8)*2)) write a python code to compute the final output.
      Répondre à cette question

      Autres retours d’entretien d’embauche pour un poste comme Research Scientist chez DeepL

      Entretien pour Research Scientist

      25 mai 2025
      Candidat à l'entretien anonyme
      Köln
      Aucune offre
      Expérience neutre
      Entretien difficile

      Candidature

      Le processus a pris 6 semaines. J'ai passé un entretien chez DeepL (Köln)

      Entretien

      1. Phonecall 2. Interview (general machine learning related questions) 3. Interview (code session - very basic Python questions) 4. Multiple interviews after each other (AC like). ML theory and coding.

      Questions d'entretien [1]

      Question 1

      The impact of weight initialization on training.
      Répondre à cette question

      Entretien pour Research Scientist

      29 avr. 2025
      Candidat à l'entretien anonyme
      Berlin
      Aucune offre
      Expérience positive
      Entretien difficile

      Candidature

      J'ai passé un entretien chez DeepL (Berlin)

      Entretien

      It was a very pleasant experience. We had a great discussion about many DL-related topics. One was a bit long, but overall, it was good. The interviewers were very friendly and guided the whole process well.

      Questions d'entretien [1]

      Question 1

      Things about network initialization, coding problems for strings, translation related questions and similar.
      Répondre à cette question
      avatar
      Réponse de DeepL
      8mo
      Thank you for sharing your feedback about your interview experience at DeepL. We’re delighted to hear that you found the process pleasant and appreciated the friendliness and guidance of our interviewers. We strive to create an engaging and supportive environment during interviews, so it’s great to know this resonated with you. We appreciate your note about the length of one discussion and will take it into consideration as we continue to refine our process. Best of luck in your future endeavors, and thank you again for your thoughtful feedback!

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