Process
The first round was values/behavioral-based, with the hiring manager and another engineer.
The second and final round was with two other engineers, where they asked about a previous ML project and various questions regarding ML and the tech stack.
I like that Spotify provides a general summary of what the interview will be about, so you can prepare beforehand.
Questions
If you were to do a different ML model for this project, what would you do?
Did you create a baseline to compare your answers to?
What backend tools and technologies are you familiar with?
How did you handle an imbalanced dataset?
How would you do regression based on multiple features?
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Interview Statistics
The following metrics were computed from 10 interview experiences for the Spotify Machine Learning Engineer role in United States.
Success Rate
Spotify's interview process for their Machine Learning Engineer roles in the United States is very selective, failing most engineers who go through it.
Experience Rating
Candidates reported having good feelings for Spotify's Machine Learning Engineer interview process in United States.
Spotify Work Experiences
- 4.0Great company, but slow careerMachine Learning Engineer • Current EmployeeNew York, New York, United StatesAugust 3, 2024Pros: Great company culture and work-life balance.Cons: Career progression is fairly slow.
- 4.0A Fun Place to WorkMachine Learning Engineer • Current EmployeeNew York, New York, United StatesJune 1, 2022Pros: * Good employee benefits * Emphasis on teamworkCons: Most machine learning projects got put on the back burner for maintenance, data, or backend work.
- 5.0Great Place to WorkMachine Learning Engineer • Current EmployeeNew York, New York, United StatesSeptember 28, 2025Pros: Smart and interesting people to work with.Cons: Not many cons, if I am honest.
Spotify Interview Questions
