At a Glance
- Tasks: Build and scale ML systems for content safety and policy enforcement at Spotify.
- Company: Join Spotify, a leading tech company focused on innovation and user trust.
- Benefits: Flexible work options, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with opportunities to mentor and influence across teams.
- Why this job: Make a real impact on content safety while working with cutting-edge machine learning technology.
- Qualifications: Experience in building production-grade ML systems and familiarity with frameworks like PyTorch or TensorFlow.
The predicted salary is between 80000 - 100000 £ per year.
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.
Senior Staff Machine Learning Engineer - Content Policy & Safety employer: Dormont Manufacturing Co
At Spotify, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in a vibrant work culture. As a Senior Staff Machine Learning Engineer, you'll have the opportunity to shape critical safety and policy systems while enjoying flexible working arrangements in either London or Stockholm. We are committed to your professional growth, offering mentorship and the chance to work on impactful projects that enhance user trust and experience.
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We think you need these skills to ace Senior Staff Machine Learning Engineer - Content Policy & Safety
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