The opportunity
We design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world.
What you'll do
Define and drive machine learning strategy across content understanding,: safety, policy enforcement, and platform-level decisioning
Build and scale production ML systems for classification, moderation,: ranking, risk detection, and content evaluation
Develop automated decisioning systems that support content quality,: integrity, safety, and policy compliance at scale
Design and deploy ML systems across multiple content modalities, including text, audio, image, and video
Build systems capable of evaluating and making decisions about content in real time and at Spotify scale
Enable controlled and reliable access to content and metadata for downstream products and applications
What they're looking for
- You have significant experience designing and building production-grade machine learning systems at scale
- You have deep experience with modern ML frameworks such as PyTorch, TensorFlow, JAX, or similar
- You have experience with—or a strong interest in—multimodal machine learning: across areas such as text, audio, image, or video
- You have built systems where machine learning outputs inform or automate real-world decisions
- You understand how to balance automation with quality, safety, reliability, and user experience
- You’re comfortable tackling complex and ambiguous technical problems with: significant product and business impact
- You think in systems, connecting models, data, infrastructure, and: decisioning to platform-level outcomes and user experiences
- You care deeply about data quality, rigorous evaluation, fairness, explainability, and system reliability
