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.
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.
What You'll Do Conduct original research in machine learning and AI, with a focus on large-scale foundation models, generative AI, and post-training methods, including reinforcement learning.
Design and execute rigorous experiments to explore new ideas and validate research hypotheses.
Contribute to the scientific community through publications, talks, and conference participation.
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.
Who You Are You have a Master’s or PhD in machine learning, AI, or a related field, or equivalent research experience.
You have demonstrated expertise in machine learning and artificial intelligence through peer-reviewed publications at conferences such as NeurIPS, ICLR, ICML, KDD, or RecSys.
You have deep knowledge of machine learning, with hands-on experience in areas such as post-training and.