Spotify

What You Will Do

• Shape the machine learning strategy for content understanding and platform-level decisioning
• Build & scale ML systems for classification, moderation, ranking, risk detection across multimodal content
• Develop automated decisioning systems that ensure content quality, integrity, & policy compliance at scale
• Design and deploy models across text, audio, image, and video domains
• Build systems that enable controlled, reliable access to content and metadata for downstream applications
• Collaborate with product, policy, trust & safety teams to operationalize content standards across platform
• Improve automation to reduce manual intervention while maintaining high standards of trust and quality
• Mentor engineers and contribute to best practices in ML engineering, evaluation, and system design

Who You Are

• You have strong experience building production-grade machine learning systems at scale
• You are experienced with modern ML frameworks such as PyTorch, TensorFlow, or JAX
• You have worked with or are interested in multimodal machine learning
• You understand how to design systems that balance automation with quality, safety, and user experience
• You are comfortable working on complex, ambiguous problems with high impact
• You think in systems, connecting models to platform-level outcomes and user experiences
• You care deeply about data quality, evaluation rigor, and system reliability
• You communicate clearly and influence across technical and non-technical teams

Where You Will Be

• This role is based in London or Stockholm
• We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.