Senior Staff Machine Learning Engineer - Content Policy & Safety
Key Skills for This Role
Full Job Posting
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.
About Spotify
Spotify is a digital music, podcast, and video streaming service that gives users access to millions of songs and other content from creators worldwide.
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