Spotify Product Features & ML Architecture Questions

An integrated topic covering product feature design in a music streaming service and the machine learning architecture that enables those features. It includes personalization and recommendations, feature engineering, ML model lifecycle (training, validation, deployment, serving), data pipelines and feature stores, experimentation and A/B testing, monitoring and observability, scalability and reliability considerations for ML-driven product features, and privacy/governance considerations relevant to consumer data.