Senior Machine Learning Engineer, Personalization - Spotify

Job Title: Senior Machine Learning Engineer, Personalization
Job Location: New York, NY
Job Listing URL: https://jobs.lever.co/spotify/38c603cd-95f9-4a5f-b588-35f277266a04
Job Description: 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.
What You'll Do
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
Who You Are
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
Where You'll Be
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