Machine Learning Engineer loops test Python, Feature Engineering and Machine Learning Engineering first, then Problem Solving and Deep Learning. Everything below is aggregated from 4,941 candidate reports and 831 company guides.
My process dragged out longer than I expected—closer to weeks at the start, and in total it ended up feeling very drawn-out. It kicked off with early technical stages: I went through screenings that tested core ML knowledge like attention and variants, and then the later phases shifted into more high-pressure technical
Recruiter first, and it ended up feeling pretty painless. After that, the process moved into a small set of stages where I was mostly sharing about my own research rather than getting hit with a pile of algorithm questions. The technical part was basically a single LeetCode question, and then the rest of my time went
