How do I approach Machine Learning interview questions?

Machine Learning questions require understanding of core concepts and practice. PracHub provides solutions with explanations to help you master machine learning interviews.

What difficulty level is this interview question?

This is a medium difficulty Machine Learning question, commonly asked during Onsite rounds at Spotify.

What role is this question designed for?

This question is commonly asked for Machine Learning Engineer candidates at Spotify during technical interviews.

Build Premium User Propensity Model | Spotify Interview Question

Build Premium User Propensity Model

Last updated: Mar 29, 2026

Quick Overview

This question evaluates an engineer's competency in end-to-end machine learning system design for user conversion propensity, covering problem framing, labeling strategy without leakage, feature engineering across behavioral, content, social and device signals, embedding usage, model families and loss functions, class imbalance handling, and offline/online evaluation, calibration and deployment considerations. Commonly asked in Machine Learning interviews, it assesses the ability to translate business objectives and prediction horizons into practical modeling and operational choices, testing both conceptual understanding and practical application across data modeling, evaluation, calibration, thresholding, and downstream product integration.

Spotify

Mar 4, 2026, 12:00 AM

Machine Learning Engineer

Onsite

Machine Learning

21 solved

Design an end-to-end modeling approach to identify free-tier users who are likely to convert to a premium subscription.

Discuss:

the business objective and prediction horizon,
how to define positive and negative labels without leakage,
what data you would collect,
feature engineering from behavioral, content, social, and device signals,
when embeddings would be useful and how to generate them,
candidate model families,
appropriate loss functions,
handling class imbalance,
offline and online evaluation,
calibration, thresholding, and how predictions would be used by downstream product teams.

Solution

Show

Comments (0)

Loading comments...

Browse More Questions

More Machine Learning•More Spotify•More Machine Learning Engineer•Spotify Machine Learning Engineer•Spotify Machine Learning•Machine Learning Engineer Machine Learning