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Spotify Staff-Level Machine Learning Engineer Interview Preparation Guide

Machine Learning Engineer
Spotify
Staff
8 rounds
Updated 11/23/2025

Spotify's interview process for Staff-level Machine Learning Engineers comprises multiple stages designed to assess technical expertise, production ML system design, collaboration in autonomous squad structures, and alignment with Spotify's data-driven, experimentation-focused culture. The process evaluates candidates on their ability to design and implement large-scale recommender systems, optimize models for production environments, architect scalable ML infrastructure, and lead technical initiatives across cross-functional teams. At the Staff level, interviewers particularly assess strategic thinking about ML systems, influence and mentorship capabilities, and understanding of business impact.

Interview Rounds

1

Recruiter Screening

2

Technical Phone Interview

3

Onsite Round 1: Coding & Applied ML Problem

4

Onsite Round 2: ML System Design

5

Onsite Round 3: Technical Depth - Spotify Domain

6

Onsite Round 4: Behavioral & Collaboration

7

Onsite Round 5: Product Impact & Business Acumen

8

Hiring Manager Round

Additional Information

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