5 months ago
London, United KingdomStaff+
Responsibilities
- Define and drive machine learning strategy for safety, policy enforcement, and compliance systems.
- Build and scale machine learning systems for content detection, classification, and risk assessment.
- Develop automated decisioning systems for consistent and reliable policy enforcement.
- Design systems supporting real-time and large-scale content evaluation.
- Collaborate with product, policy, and trust and safety teams to operationalize content standards.
- Improve automation while maintaining high quality and safety standards.
- Drive best practices in evaluation, fairness, and system reliability.
- Mentor engineers and contribute to technical direction across teams.
Requirements
- Strong experience building production-grade machine learning systems at scale.
- Experience with modern machine learning frameworks such as PyTorch, TensorFlow, or similar.
- Experience working on systems where machine learning outputs influence real-world decisions.
- Ability to design systems that balance automation with safety and user experience.
- Understanding of data quality, rigorous evaluation, system reliability, and platform-level outcomes.
- Ability to communicate clearly and influence technical and non-technical teams.
Benefits
- Role based in London or Stockholm.
- Flexible work arrangement with some in-person meetings and the option to work from home.
Tech Stack
PyTorchTensorFlow
Categories
About Spotify
Spotify builds a global audio streaming platform for listeners and creators, offering on-demand music and podcasts across mobile, desktop, and connected devices. The business runs a freemium model: an ad-supported free tier and a paid Premium subscription, plus creator tools like Spotify for Artists and podcast publishing. Founded in 2006 and headquartered in Stockholm, it is a publicly traded company on the NYSE (SPOT) serving consumers and rights holders worldwide.