The opportunity
We design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world.
What you'll do
Design, build, and ship production-grade machine learning systems that power: content safety and policy enforcement at Spotify scale
Own and lead key technical initiatives across detection, classification, and policy evaluation systems
Develop and maintain ML models for content moderation, including multimodal and LLM-based systems
Build robust evaluation frameworks, including standardized datasets, offline: and online metrics, and continuous improvement loops
Drive experimentation to improve model performance, reliability, and fairness in safety-critical systems
Collaborate closely with cross-functional partners in Trust & Safety, Legal,: and Public Affairs to align on policy and enforcement needs
What they're looking for
- You have solid experience building and deploying machine learning systems in production environments at scale
- You are experienced with training, evaluating, and maintaining ML models: using modern frameworks such as PyTorch
- You have a deep understanding of machine learning evaluation, including: dataset design, metrics, and continuous improvement systems
- You know how to design systems that balance performance, reliability, and: real-world impact in high-stakes domains
- You care about building safe, responsible, and user-centric ML systems
- You are comfortable working across disciplines, partnering with legal, policy, and product stakeholders
- You have experience leading technical projects and influencing direction within a team or product area
- You have experience with distributed systems or backend technologies (e.g., Scala)
