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      Radix.ai

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      Machine Learning Engineer Interview

      Sep 10, 2021
      Anonymous Interview Candidate
      No offer
      Neutral experience
      Average interview

      Application

      I applied online. The process took 4 weeks. I interviewed at Radix.ai in Aug 2021

      Interview

      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.

      Interview questions [1]

      Question 1

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

      Other Machine Learning Engineer Interview Reviews for Radix.ai

      Machine Learning Engineer Interview

      Apr 8, 2024
      Anonymous Interview Candidate
      No offer
      Positive experience
      Average interview

      Application

      The process took 3 weeks. I interviewed at Radix.ai

      Interview

      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

      Interview questions [3]

      Question 1

      What is k-means ? What is DBSCAN ? What is the advantage of DBSCAN over K-Means ?
      Answer question

      Question 2

      What is a diffusion model ? How does it work ?
      Answer question

      Question 3

      What is object detection ? What is object segmentation ?
      Answer question

      Machine Learning Engineer Interview

      Jun 25, 2020
      Anonymous employee
      Brussels
      Accepted offer
      Positive experience
      Difficult interview

      Application

      I applied online. The process took 1 week. I interviewed at Radix.ai (Brussels) in Apr 2020

      Interview

      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!

      Interview questions [1]

      Question 1

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

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