Spotify Machine Learning Engineer Interview Preparation Guide - Junior Level

Spotify's Machine Learning Engineer interview process for junior-level candidates consists of 6 rounds spanning 2-4 weeks. The process begins with a recruiter screening to assess background and motivation, followed by a technical phone screen to evaluate applied ML knowledge and end-to-end thinking. The onsite phase includes 4 rounds: coding and algorithms, ML system design, applied ML technical depth, and behavioral/culture fit assessment. The interviews emphasize practical problem-solving, Spotify's production ML systems (especially recommendation engines), and collaboration within cross-functional teams. For junior candidates, interviewers focus on foundational ML knowledge, ability to learn quickly, coding proficiency, and cultural fit with Spotify's autonomous squad-based structure.