Spotify

What You Will Do

• Define & drive machine learning strategy for safety, policy enforcement, and compliance systems
• Build and scale ML systems for detection, classification, and risk assessment across content
• Develop automated decisioning systems that ensure consistent, reliable enforcement of policies
• Design systems that support real-time and large-scale content evaluation
• Collaborate with product, policy, and trust & safety teams to operationalize content standards
• Improve automation to reduce manual intervention,maintaining high quality and safety standards
• Drive best practices in evaluation, fairness, and system reliability
• Mentor engineers and contribute to technical direction across teams

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 similar
• You have worked on systems where ML outputs influence real-world decisions
• You understand how to design systems that balance automation with safety and user experience
• You are comfortable working on complex, ambiguous problems with high impact
• You think in systems and understand how models connect to platform-level outcomes
• You care 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.