Senior Machine Learning Engineer, Personalization

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.\n

• 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 that advance our mission to connect artists and fans in personalized and useful ways
• 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, testing, evaluation, etc., both inside the team as well as throughout the organization
• Be part of an active group of machine learning practitioners in New York (and across Spotify), collaborating with one another

• An experienced ML practitioner motivated to work on complex real-world problems in a fast-paced and collaborative environment
• Strong background in machine learning, natural language processing, and generative AI, with experience in applying theory to develop real-world applications
• Hands-on expertise with implementing end-to-end production ML systems at scale in Java, Scala, Python, or similar languages. Experience with Pytorch, TensorFlow, Scikit-learn is a strong plus
• Experience with designing end-to-end tech specs and modular architectures for ML frameworks in complex problem spaces in collaboration with product teams
• Experience with large-scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, and cloud platforms like GCP or AWS

• This role is based in New York
• We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home

The United States base range for this position is $176,166- $251,666 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.