Process
The process involved a take-home data analysis assignment and two video interviews: one focused on machine learning and one on general coding.
This entire process took a few weeks.
I received positive feedback on all components but was ultimately not given an offer.
The questions in the coding interview were fairly easy, utilizing Python. The machine learning interview was slightly more challenging but did not require live coding; it focused on discussing the problem.
Everyone I interacted with was very pleasant.
Questions
Disambiguate artists with the same names given metadata and song list.
Was this helpful?
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
- 5.0Company with a great cultureMachine Learning Engineer • Current EmployeeOctober 22, 2022Pros: Great culture, people, and work-life balance. A lot of interesting work.Cons: Growing a lot, which results in a lot of re-orgs.
- 5.0Great Mission, Long Remote WorkMachine Learning Engineer • Current EmployeeNew York, New York, United StatesMay 12, 2025Pros: balance, influence, compensation, mission, beautifulCons: work, long, remote, company, work
- 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.
Spotify Interview Questions
