Conduct original ML/AI research focused on large-scale foundation models and generative AI to advance Spotify's personalization systems like Discover Weekly. Requires PhD or Master's with publication track record in top conferences, 2+ years research experience, and expertise in recommender systems or representation learning.
Salary not listed
Hybrid2+ YOEAI Research
About the role
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
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, 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
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