Hive (CA) Machine Learning Engineer Interview Questions
& Process

So there were about 4 or 5 interviews in total, each with someone more senior than the last, ending with the co-founder. It started with a recruiter call. Then, the initial technical interviews involved talking about my resume and past experience. They also asked me about how I'd handle hypothetical scenarios relevant to the role. The last interview was a mix of discussing my background again and a standard Leetcode-style coding problem.

I had a brief phone call initially, which was mainly for introductions and sorting out logistics. Then, I went through a technical coding interview. I think there were a total of 4 technical interviews, with some ML discussions towards the end. The person who interviewed me for the technical part was pretty friendly and helped make me feel less nervous.

This whole process took about 4 weeks. There were 4 rounds total. The first three rounds were spread over 2 weeks, and then the last round with the CTO was scheduled 2 weeks after that. Rounds 1 through 3 were pretty good, the interviewers were all respectful, smart, and seemed into their work. Round 4, however, was terrible. The CTO was completely checked out, asking the same old serialize-deserialize n-ary tree question he always does. I get the feeling he'd already decided to reject me before we even started. He was kind of passively rude. I thought I did well in all the rounds, but I still got rejected. Honestly, it felt like a waste of my time, especially if they're going to reject candidates regardless of how they perform in the interviews, why bother with 4 rounds?