The Safe-and-Sound team at Spotify focuses on making the platform safe and enjoyable for all listeners, building Responsible AI solutions to enhance user experience through personalized recommendations.
Responsibilities
Design, build, evaluate, ship, and refine Spotify’s product through hands-on ML development
Collaborate with cross-functional teams to build new product features
Prototype new approaches and production-ize solutions at scale
Drive optimization, testing, and tooling to improve quality
Participate in a machine learning practitioner group
Requirements
Strong background in machine learning, especially recommender systems
Experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages
Experience with XGBoost, TensorFlow is a plus
Care about agile software processes, data-driven development, reliability, and disciplined experimentation