Research Scientist - Personalization

The Personalization team at Spotify makes deciding what to play next easier and more enjoyable for every listener. They build features like Blend and Discover Weekly by understanding the world of music and podcasts. As a Research Scientist in Personalization, you will conduct original research in machine learning and AI to shape the future of personalization.

Responsibilities

• Conduct original research in machine learning and AI, focusing on large-scale foundation models, generative AI, and post-training methods.
• Develop novel methodologies, models, and evaluation frameworks to advance personalization systems.
• Design and execute 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.

Requirements

• Master's or PhD in machine learning, AI, or a related field, or equivalent research experience.
• Demonstrated expertise in machine learning and artificial intelligence through peer-reviewed publications.
• Deep knowledge of machine learning, with hands-on experience in areas like post-training and reinforcement learning.
• Experience designing experiments and working with real-world datasets.
• Curiosity, creativity, and a thoughtful approach to solving complex problems.
• Value collaboration and actively seek diverse perspectives.

Location and Benefits

• Based in New York City, with flexibility to work remotely.
• Salary 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, and 13 paid flexible holidays.