Senior Research Scientist; Personalization

Requirements

• 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

• The Person alization 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
• Spotify’s Personalization organization builds the technology that helps millions of listeners discover what they love
• Within this space, our research team focuses on advancing the state of the art in machine learning and AI to shape the future of personalization
• We explore new approaches, challenge existing assumptions, and contribute to the broader research community while influencing long-term product direction
• 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
• Mentor others and contribute to a strong, curious, and collaborative research culture