The Personalization team at Spotify makes deciding what to play next easier and more enjoyable for every listener. We're behind some of Spotify's most-loved features, including Blend and Discover Weekly. Our research team focuses on advancing the state of the art in machine learning and AI to shape the future of personalization.
\nWe conduct original research in machine learning and artificial intelligence, with a focus on large-scale foundation models and generative AI. We develop novel methodologies, models, and evaluation frameworks to advance personalization systems. We design and execute rigorous experiments to explore new ideas and validate research hypotheses.
\nWe contribute to the scientific community through publications, talks, and conference participation. We collaborate with cross-functional partners to translate research insights into long-term product opportunities. We help define and evolve a forward-looking research agenda aligned with Spotify's personalization strategy.
\nWe're looking for a Research Scientist to join our team. You should have a Master's or PhD in machine learning, artificial intelligence, or a related field, or equivalent research experience. You should have 2+ years of experience conducting research in machine learning or AI, ideally in an industry or academic setting.
\nYou should have a track record of publications or contributions to top-tier conferences such as NeurIPS, ICML, ICLR, or similar. You should have deep knowledge of machine learning, with experience in areas such as recommender systems, generative models, or representation learning. You should be experienced in designing experiments and working with real-world datasets to validate research ideas.
\nYou should care about advancing understanding of user behavior and improving experiences across music and talk content. You should bring curiosity, creativity, and a thoughtful approach to solving complex, open-ended problems. You should value collaboration and actively seek diverse perspectives in your work.
\nThis role is based in New York City or Boston. We offer you the flexibility to work where you work best! There will be some in-person meetings, but still allows for flexibility to work from home.
\nThe United States base range for this position is $169,157–$241,653 USD, plus equity. The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave.
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