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      Entrevistas de Radix.aiEntrevistas para el puesto de Machine Learning Engineer en Radix.aiEntrevista de Radix.ai


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      Entrevista de Machine Learning Engineer

      8 abr 2024
      Candidato de entrevista anónimo
      Sin oferta
      Experiencia positiva
      Entrevista normal

      Solicitud

      El proceso duró 3 semanas. Acudí a una entrevista en Radix.ai

      Entrevista

      Great interview process, very structured and provided relevant feedback when explaining why I was declined. 1st: call with head of delivery to talk about motivations and Radix 2nd: take-home assignment available on their github account. 3rd: 1-to-1 technical interview

      Preguntas de entrevista [3]

      Pregunta 1

      What is k-means ? What is DBSCAN ? What is the advantage of DBSCAN over K-Means ?
      Responder pregunta

      Pregunta 2

      What is a diffusion model ? How does it work ?
      Responder pregunta

      Pregunta 3

      What is object detection ? What is object segmentation ?
      Responder pregunta

      Otras opiniones sobre las entrevistas para el puesto de Machine Learning Engineer en Radix.ai

      Entrevista de Machine Learning Engineer

      10 sept 2021
      Candidato de entrevista anónimo
      Sin oferta
      Experiencia neutra
      Entrevista normal

      Solicitud

      Envié una solicitud electrónica. El proceso duró 4 semanas. Acudí a una entrevista en Radix.ai en ago 2021

      Entrevista

      The recruitment process is very transparent. You get to know from the beginning that there are 3 steps - HR Interview, Technical Takeaway + Interview, and Business Case Interview. The HR interview is an introductory one, with a few behavioural questions to see if you fit into the culture. My interviewer was very friendly and gave me good overall vibes. Following, I received the instructions for the takeaway assignment, which are also public on their website. I worked for about a week and a half on the assignment, in the end scoring more than enough to proceed. During this step, I asked one of their employees for support as I had an issue, and he offered his help without a second thought. Very nice! After submitting my solution, I had a technical interview with their tech lead, in which I explained my solution with bad and good, and he also asked me some very general machine learning questions. I was told I performed well and my technical knowledge was excellent. After the technical interview, I got an invitation to another interview, but contrary to my expectations, it was not the final step, but a call to tell me that I was rejected. The main reason was me still being a (final year) student, so they did not think combining with a full-time job was possible, and me not being committed to living in Belgium after I finished my studies. The end was a bit bitter, I would have liked to know about the incompatibility from the beginning, or even sooner, but in the rest the process was enjoyable and I ended up learning a lot.

      Preguntas de entrevista [1]

      Pregunta 1

      What's the difference between object detection and instance segmentation, what's the difference between kmeans and dbscan, etc.
      Responder pregunta
      1

      Entrevista de Machine Learning Engineer

      25 jun 2020
      Empleado anónimo
      Bruselas
      Oferta aceptada
      Experiencia positiva
      Entrevista difícil

      Solicitud

      Envié una solicitud electrónica. El proceso duró 1 semana. Acudí a una entrevista en Radix.ai (Bruselas) en abr 2020

      Entrevista

      The process is long, but really worth it. You first have to pass a small Kaggle competition and they will get in touch with you if you score well. Then, you have to pass two interviews: one technical and one business. They ask increasingly harder questions to push you to your limits and evaluate your potential. I had a really great experience with Radix, people there are really smart and friendly. Would definitely recommend!

      Preguntas de entrevista [1]

      Pregunta 1

      Business case: the interviewer plays the client and you have to ask him relevant questions
      Responder pregunta
      4

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