Senior Machine Learning Engineer, Personalization - Remote

Overview

The Safe-and-Sound team makes Spotify safe and enjoyable for every listener. From podcast recommendations to AI Playlists, we’re a part of some of Spotify’s most-loved features. We build Responsible AI solutions by understanding our music, podcasts and users better than anyone else. Join us and you’ll keep millions of users listening by making recommendations safe for 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 to build new product features
• Prototype new approaches and productionize solutions at scale for our 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

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 in Java, Scala, Python, or similar languages
• Experience with designing end-to-end tech specs and modular architectures for ML frameworks
• Experience with large-scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, and cloud platforms like GCP or AWS

Benefits

• Flexibility to work where you work best
• In-person meetings with flexibility to work from home