Spotify Machine Learning Engineer - Entry Level Interview Preparation Guide
Machine Learning Engineer
Spotify
entry
6 rounds
Updated 11/23/2025
Spotify's Machine Learning Engineer interview process for entry-level candidates consists of a recruiter screening, a technical phone interview, and four onsite rounds conducted over several weeks. The process evaluates technical depth in machine learning and software engineering, practical problem-solving abilities, system design thinking, and cultural alignment. Entry-level candidates are assessed on foundational ML knowledge, coding proficiency in Python or Scala, understanding of data structures and algorithms, and the ability to learn and collaborate effectively within Spotify's data-driven, experimentation-focused environment.
Interview Rounds
1
Recruiter Screening
30 min4 focus topicsculture fit
2
Technical Phone Interview - Applied Machine Learning
60 min6 focus topicstechnical
3
Onsite Round 1 - Coding and Data Structures
60 min6 focus topicstechnical
4
Onsite Round 2 - Machine Learning Systems Design
60 min6 focus topicssystem design
5
Onsite Round 3 - Feature Engineering and ML Concepts
60 min6 focus topicstechnical
6
Onsite Round 4 - Behavioral and Culture Fit
60 min6 focus topicsbehavioral
Additional Information