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      Radix.ai

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      Ricerche correlate: Recensioni su Radix.ai | Offerte di lavoro di Radix.ai | Stipendi di Radix.ai | Benefit di Radix.ai
      Colloqui di Radix.aiColloqui per Machine Learning Engineer presso Radix.aiColloquio di Radix.ai


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      Colloquio per Machine Learning Engineer

      25 giu 2020
      Dipendente anonimo
      Bruxelles
      Offerta accettata
      Esperienza positiva
      Colloquio difficile

      Candidatura

      Ho presentato la mia candidatura online. La procedura ha richiesto una settimana. Ho sostenuto un colloquio presso Radix.ai (Bruxelles) nel mese di apr 2020

      Colloquio

      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!

      Domande di colloquio [1]

      Domanda 1

      Business case: the interviewer plays the client and you have to ask him relevant questions
      Rispondi alla domanda
      4

      Altre recensioni di colloqui per Machine Learning Engineer presso Radix.ai

      Colloquio per Machine Learning Engineer

      8 apr 2024
      Candidato anonimo a colloquio
      Nessuna offerta
      Esperienza positiva
      Colloquio nella media

      Candidatura

      La procedura ha richiesto 3 settimane. Ho sostenuto un colloquio presso Radix.ai

      Colloquio

      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

      Domande di colloquio [3]

      Domanda 1

      What is k-means ? What is DBSCAN ? What is the advantage of DBSCAN over K-Means ?
      Rispondi alla domanda

      Domanda 2

      What is a diffusion model ? How does it work ?
      Rispondi alla domanda

      Domanda 3

      What is object detection ? What is object segmentation ?
      Rispondi alla domanda

      Colloquio per Machine Learning Engineer

      10 set 2021
      Candidato anonimo a colloquio
      Nessuna offerta
      Esperienza neutra
      Colloquio nella media

      Candidatura

      Ho presentato la mia candidatura online. La procedura ha richiesto 4 settimane. Ho sostenuto un colloquio presso Radix.ai nel mese di ago 2021

      Colloquio

      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.

      Domande di colloquio [1]

      Domanda 1

      What's the difference between object detection and instance segmentation, what's the difference between kmeans and dbscan, etc.
      Rispondi alla domanda
      1

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