We’re seeking a Senior Staff Machine Learning Engineer to build and scale ML systems that power safety, policy enforcement, and compliance across Spotify. In this role, you’ll shape how automated systems evaluate and act on content—ensuring decisions are consistent, explainable, and reliable at global scale. This work is critical to maintaining trust for both listeners and creators.
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.
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