Machine Learning Engineer II, Personalization - Remote

Overview

The Personalization teams make deciding what to play next easier and more enjoyable for every listener. From Daily Mix to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them.

In Short

• Design, build, evaluate, and ship ML solutions for safety in Spotify’s personalization products.
• Collaborate with cross functional teams spanning user research, design, data science, product management, and engineering.
• Prototype new approaches and productionize solutions at scale for hundreds of millions of active users.
• Promote and role-model best practices of ML systems development.
• Be part of an active group of machine learning practitioners in New York and across Spotify.

Requirements

• An experienced ML practitioner motivated to work on complex real-world problems.
• Strong background in machine learning, natural language processing, and generative AI.
• Hands-on expertise with implementing end-to-end production ML systems at scale.
• Experience with designing end-to-end tech specs and modular architectures for ML frameworks.
• Experience with large scale, distributed data processing frameworks/tools.

Benefits

• Flexibility to work where you work best within the North America region.
• Collaboration within the Eastern Standard time zone.