Spotify is a digital music service that gives you access to millions of songs. Backed by Accel, Kleiner Perkins and Norwest.
About the role
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
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
More about this role
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. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify.
The Policy & Safety team sits within Content Platform in the Experience Mission, building the systems that keep Spotify safe, compliant, and trusted by millions of users and creators. This team owns Spotify’s content moderation infrastructure — from detection models to policy enforcement systems and compliance data pipelines.
Working at the intersection of machine learning, platform engineering, and regulatory compliance, the team partners closely with Trust & Safety, Legal, and Public Affairs. They’re on the critical path for every new content type and social feature —...
Browse similar: AI jobs · AI startup jobs · Startup jobs · New York