Hiring: Research Scientist - Personalization Company: Spotify Location: Boston, MA Job Posted Time: 2026-09-09 17:56:38 Employment Type: Full-time Target Skills & Keywords : Machine Learning, Artificial Intelligence, Large-Scale Foundation Models, Generative AI, Recommender Systems, Generative Models, Representation Learning, Personalization, Experiment Design, Research Publications, NeurIPS, ICML, ICLR Experience: - 2+ years of experience conducting research in machine learning or AI, ideally in an industry or academic setting - Track record of publications or contributions to top-tier conferences such as NeurIPS, ICML, ICLR, or similar Required Skills: - Original research in machine learning and artificial intelligence, with focus on large-scale foundation models and generative AI - Developing novel methodologies, models, and evaluation frameworks for personalization systems - Designing and executing rigorous experiments to validate research hypotheses - Deep knowledge of machine learning, including recommender systems, generative models, or representation learning - Working with real-world datasets to validate research ideas - Contributing to the scientific community through publications, talks, and conference participation - Collaborating with cross-functional partners to translate research into product opportunities - Mentoring and contributing to a collaborative research culture Qualifications: - Master's or PhD in machine learning, artificial intelligence, or a related field, or equivalent research experience - Curiosity, creativity, and a thoughtful approach to solving complex, open-ended problems - Value for collaboration and actively seeking diverse perspectives - Care about advancing understanding of user behavior and improving experiences across music and talk content Compensation: - United States base range: $133,194 - $190,278 plus equity - Benefits include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!