Machine Learning Engineer, Personalization
Spotify(1 month ago)
About this role
This Machine Learning Engineer role on Spotify’s Personalization Minesweeper squad focuses on building language-based content understanding for music, podcasts, and audiobooks. The position centers on creating scalable AI and ML systems that generate human-understandable knowledge and power personalized recommendations for hundreds of millions of users. The engineer will work in a cross-functional environment with data, backend, and research stakeholders and contribute to the evolution of Spotify’s content enrichment and listening experiences. The role is based in North America with collaboration aligned to Eastern Time.
Required Skills
- Large Language Models
- Model Fine Tuning
- RAG Techniques
- Machine Learning Development
- Content Enrichment
- Data Analysis
- A/B Testing
- Tooling Development
- Cross Functional Collaboration
- Python Programming
+17 more
About Spotify
spotifyjobs.comSpotify is a global audio streaming platform that gives users access to millions of songs, podcasts, and other audio content across devices. It offers both ad-supported and subscription-based premium tiers, personalized discovery and recommendation features, and creator tools for artists and podcasters to publish and monetize their work. As a technology company, Spotify builds machine learning-driven personalization, analytics, and ad-tech to power listening experiences and advertising solutions worldwide. The company emphasizes inclusive culture and hires across product, engineering, data, content, and business roles.
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