- Spotify
- New York, NY
- Full-Time
- 4 days ago
Machine Learning Engineer – Subscriptions: our view in 3 lines...
- The Role: Design and productionize machine learning models powering personalization for subscription funnels at a large audio streaming company.
- The Person: Contribute to designing, prototyping, evaluating, scaling and maintaining production-ready machine learning models and data pipelines that power personalization across subscription funnels and messaging surfaces.
- Requirements: Requires experience applying machine learning in production environments, building production ML systems using Python or Scala, working with PyTorch or distributed systems like Ray, and using GCP or AWS.
Job Description
The Subscriptions Mission team builds and evolves Spotify’s subscription products to drive growth, retention, and user value. We focus on creating seamless, personalized experiences that help listeners discover the right plan and get the most out of Spotify, while enabling sustainable business growth.
You’ll join the User Understanding space within the Subscriptions Mission, where we build machine learning systems that personalize the subscription journey for millions of listeners. Sitting in the Lorax squad, this team focuses on optimizing the full subscription funnel—from discovery to conversion—by delivering relevant, timely, and meaningful experiences. Our work directly impacts how users engage with Spotify and how we grow our subscriber base.
