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      DeepL

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      Buscas relacionadas: Avaliações da empresa DeepL | Vagas da empresa DeepL | Salários da empresa DeepL | Benefícios da empresa DeepL
      Entrevistas da empresa DeepLEntrevistas do cargo de Research Scientist da empresa DeepLEntrevista da empresa DeepL


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      Entrevista para Research Scientist

      17 de abr. de 2026
      Candidato(a) sigiloso(a) à entrevista
      Nenhuma oferta
      Experiência neutra
      Entrevista com nível médio de dificuldade

      Candidatura

      Fiz uma entrevista na empresa DeepL.

      Entrevista

      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.

      Perguntas de entrevista [1]

      Pergunta 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.
      Responder à pergunta

      Outras avaliações de entrevista de vagas de Research Scientist da empresa DeepL

      Entrevista para Research Scientist

      25 de mai. de 2025
      Candidato(a) sigiloso(a) à entrevista
      Köln
      Nenhuma oferta
      Experiência neutra
      Entrevista difícil

      Candidatura

      O processo levou 6 semanas. Fiz uma entrevista na empresa DeepL (Köln).

      Entrevista

      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.

      Perguntas de entrevista [1]

      Pergunta 1

      The impact of weight initialization on training.
      Responder à pergunta

      Entrevista para Research Scientist

      29 de abr. de 2025
      Candidato(a) sigiloso(a) à entrevista
      Berlim
      Nenhuma oferta
      Experiência positiva
      Entrevista difícil

      Candidatura

      Fiz uma entrevista na empresa DeepL (Berlim).

      Entrevista

      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.

      Perguntas de entrevista [1]

      Pergunta 1

      Things about network initialization, coding problems for strings, translation related questions and similar.
      Responder à pergunta
      avatar
      Resposta da empresa 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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