Machine Learning Engineering Manager - Personalization
spotify · New York, NY
Candidature directe sur le site carrière de spotify — sans créer de compte.
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À propos du poste
Mission Statement
The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend 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.
About the Team
Safe-and-Sound is the centralized Safety team within the AI Foundations Studio in Personalization. We build machine learning systems that help ensure Spotify experiences and recommendations are safe, responsible, and enjoyable across core surfaces like Home, Search, as well as newer generative AI experiences.
We partner closely with Tech Research, Trust & Safety, and Content Platform to develop new approaches in areas like synthetic data, fairness, and responsible AI. Our focus is on building scalable, high-impact systems that support both today’s products and the next generation of AI-driven experiences.
Compétences
- Python
- Java
- SQL
- Docker
- Kubernetes
- Terraform
- Jira
- Agile
- Scrum
- Leadership
- Stakeholder Management
Recevez les prochaines offres comme celle-ci par email
Une alerte gratuite pour postuler avant la foule — les offres arrivent en direct des pages carrière. Désinscription en un clic.