I applied for the Machine Learning Engineer role at Kalepa. The process began with a pre-screening interview with a recruiter. The second stage was a coding interview, conducted via IDE. I successfully solved the task within the allotted time, explained my approach clearly and wrote tests. Despite completing the challenge, I was not invited to the next stage of the process and I was not provided with specific feedback.

I completed three stages of the interview process. It started with a simple HackerRank test—nothing unusual—followed by an HR screening and a technical interview. Both interviews were smooth and very friendly. I had a longer interview with a staff software engineer, which I found very enjoyable. It felt more like a discussion with a friend or colleague rather than a formal interview. I was hoping they would give me an offline task rather than an online one since I don't perform well in exam-like settings. Overall, it was a great experience. They emphasize not being a typical 9-to-5 workplace, which I think is the best approach for startups! I also appreciate that they set clear expectations from the start regarding the level of effort required, rather than surprising candidates after hiring.