The opportunity
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.
What you'll do
Conduct original research in machine learning and artificial intelligence,: with a focus on large-scale foundation models and generative AI
Develop novel methodologies, models, and evaluation frameworks to advance personalization systems
Design and execute rigorous experiments to explore new ideas and validate research hypotheses
Contribute to the scientific community through publications, talks, and conference participation
Collaborate with cross-functional partners to translate research insights into long-term product opportunities
Help define and evolve a forward-looking research agenda aligned with Spotify’s personalization strategy
What they're looking for
- You have a Master’s or PhD in machine learning, artificial intelligence, or a: related field, or equivalent research experience
- You have 2+ years of experience conducting research in machine learning or: AI, ideally in an industry or academic setting
- You have a track record of publications or contributions to top-tier: conferences such as NeurIPS, ICML, ICLR, or similar
- You have deep knowledge of machine learning, with experience in areas such as: recommender systems, generative models, or representation learning
- You are experienced in designing experiments and working with real-world datasets to validate research ideas
- You care about advancing understanding of user behavior and improving: experiences across music and talk content
- You bring curiosity, creativity, and a thoughtful approach to solving complex, open-ended problems
- You value collaboration and actively seek diverse perspectives in your work
