I applied through a recruiter. The process took 5 weeks. I interviewed at Vio.com (Amsterdam) in Jul 2021
Interview
he process involved a few back and forth emails and calls, with HR (which went fine), and then the data team, which seems ok as well, however, in the first one they seem to have some checklist of sorts to complete as most of the time they were reading from the screen.
Then a technical assessment came, and a statement that it should take 6/7 hours to complete.
Here came the first problem, it was completely unaligned with the responsibilities and description for the role: Not only was aimed to a data scientist (thus asking for a Machine Learning engineer it's a wrong move), but also the problem to solve could be hardly framed as a ML problem at all, in the first place.
I mentioned that clearly I was not a fit for the role, as I did not manage to solve it in the time they suggested, and, in the susequent meeting, they mentioned that they did want to keep this way as they wanted to filter out 'Coursera Data Scientists' or anybody else trying to apply with just some online courses.
I've been working on MLE for several years, for five startups, and the kind of problems expressed in the assessment most certainly can't be properly solved in the six/seven hours they estimated for the project, not to mention that I only saw once or twice.
If that the kind of problems they need to solve in their day to day, then again, there is a huge discrepancy on what they ask for and what they need. If this is a way to learn about the recruitment process, they should had tested earlier.
Interview questions [1]
Question 1
Experience-based questions on Model performance and deployment, mainly.