Preguntas de entrevista para el cargo de Machine Learning Engineer en Learnable

First two rounds were both phone interviews. Each took 20 minutes and I was asked some common behavioral and resume-based technical questions. The third one is a quite novel ML-project coding round. I had not seen such tasks in other companies’ interviews so was not well prepared. But it was in general a quite enjoyable process. I was given several hours to finish a CV-related DL pipeline. It was not a live process so no video or phone call except for a small presentation at the end. The instructions were clear, and they gave a code skeleton. I got stuck at understanding the loss and made another silly mistake in dataloader. I did not get the thing training properly at the end. During the call at the end, the interviewer pointed out where I got it wrong and gave some helpful suggestions. I would be interested in working on such projects in the team if that kind of project is what they do on day-to-day basis.

It was a fair process, the first 3 rounds were telephonic and the final round was on-site. The interview break-down is 80% Technical and 20% Behavioral. Right from my telephone round to accepting the offer the process was organized and streamlined. The interviewers were helpful and nice.