Spotify
Music streaming platform using ML for personalization and recommendation.
4 Rounds
~21 Days
Hard
The Interview Loop
Recruiter Screen (30 min)
Standard fit check, behavioral questions, and resume overview.
Technical Loop (3-4 Rounds)
Deep dive into domain knowledge, coding, and system design.
Interview Question Bank
Data Scientist
•
Technical
•
medium
How does collaborative filtering work, and how would you apply it to recommend podcasts to existing music listeners?
#Recommendation Systems
#Collaborative Filtering
#Cross-domain Recommendations
Data Scientist
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Technical
•
hard
How do you handle the 'cold start' problem for a newly uploaded track with zero listens?
#Recommendation Systems
#Cold Start
#Content-based Filtering
Data Scientist
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Technical
•
medium
What evaluation metrics would you use for an offline playlist continuation model?
#Model Evaluation
#Ranking Metrics
Data Scientist
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Technical
•
easy
Explain the difference between implicit and explicit feedback. How does Spotify use both?
#Data Collection
#Recommendation Systems
Machine Learning Engineer
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Technical
•
medium
What metrics would you use to measure the success of a model designed to predict if a user will 'skip' a song?
#Classification
#Metrics
#Imbalanced Data
Machine Learning Engineer
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Technical
•
medium
Explain how you would generate embeddings for Spotify users and tracks using a Word2Vec-like approach.
#Embeddings
#Representation Learning
#Item2Vec
Machine Learning Engineer
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Technical
•
hard
Explain the difference between pointwise, pairwise, and listwise approaches in Learning to Rank.
#Learning to Rank
#Information Retrieval
Machine Learning Engineer
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Technical
•
medium
How does Approximate Nearest Neighbor (ANN) search work, and how would you use it for real-time song retrieval?
#Vector Databases
#ANN
#Retrieval
Machine Learning Engineer
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Technical
•
hard
How would you incorporate raw audio features (like spectrograms) into a deep learning recommendation model?
#Deep Learning
#Audio Processing
#CNNs
Machine Learning Engineer
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Technical
•
medium
How would you address the cold start problem for a newly uploaded track by an unknown artist?
#Cold Start
#Content-Based Filtering
#Audio Features
Machine Learning Engineer
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Technical
•
hard
How would you model sequential user listening behavior using Transformer architectures?
#Transformers
#Sequential Recommendation
#Deep Learning
Machine Learning Engineer
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Technical
•
medium
What is the role of negative sampling in training item embeddings, and how do you choose negative samples effectively?
#Negative Sampling
#Embeddings
#Loss Functions
Machine Learning Engineer
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Technical
•
medium
Describe how you would build a churn prediction model for Spotify Premium subscribers.
#Classification
#Feature Engineering
#Survival Analysis
Machine Learning Engineer
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Technical
•
medium
How would you design a machine learning pipeline to automatically classify the mood (e.g., happy, sad, energetic) of a song?
#Classification
#Audio Processing
#NLP
Machine Learning Engineer
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Technical
•
medium
Explain how you would mitigate popularity bias in a music recommendation system.
#Bias Mitigation
#Recommendation Systems
#Long-tail
Machine Learning Engineer
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Technical
•
medium
Explain the difference between Matrix Factorization and Two-Tower Neural Networks for recommendation. When would you choose one over the other?
#Deep Learning
#Collaborative Filtering
#Model Architecture
Machine Learning Engineer
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Technical
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medium
How would you evaluate a new recommendation algorithm offline versus online?
#Evaluation Metrics
#A/B Testing
#Offline Evaluation
Machine Learning Engineer
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Technical
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hard
How would you use Multi-Armed Bandits to personalize the artwork shown for a playlist on the Spotify homepage?
#Reinforcement Learning
#Multi-Armed Bandits
#Personalization
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Senior EngineerFocuses on core competencies, system constraints, and clear communication.
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