Research Scientist, Personalization

Spotify has more than 600M listeners in more than 180 markets around the world, who use our music, podcast, and audiobook services to find what delights, entertains, educates, and informs them. Personalization is a high-impact organization that provides the technology to serve them what they expect to find, to help them explore and find new things to enjoy, and to suggest things they might not be aware of that they would like.

We are looking for a Research Scientist with a machine learning background to help us improve personalization experiences by integrating and optimizing pioneering generative AI technologies into our recommender systems. You will join a team of machine learning and economists researchers whose focus is on innovating the Spotify experience through researching and developing technologies that power intelligent user experiences for long-term satisfaction.

Join our interdisciplinary team at the forefront of Spotify's technology. You'll help ensure our foundational technologies exceed the state of the art, actively redefining the field through published research. We maintain strong connections with both internal product teams and the wider research community.

• Participate in groundbreaking research at the intersection of artificial intelligence, machine learning and economics with a focus on large-scale solutions to optimize recommender systems.
• Apply your scientific knowledge to analyze and collect data, perform analyses, conduct experiments and identify problems, as well as devise solutions through hands-on development.
• Work on practical applications such as recommendations and scalable evaluations.
• Work in collaboration with other scientists, engineers, product managers, designers, user researchers, and analysts across Spotify to design creative solutions to challenging problems.
• You'll have product impact, while working on and further developing a long-term research roadmap.
• You will maintain a research profile through external engagement such as publishing, giving talks, and being an active community member at top conferences.

• You have a Master's or PhD in machine learning, economics, data science, or related areas or are enrolled in an advanced degree program.
• Demonstrated expertise in machine learning, artificial intelligence, and optimization, evidenced by peer-reviewed publications in conferences (e.g., NeurIPS, KDD, RecSys) and journals.
• Expertise in recommender systems (or relevant research) and the ability to optimize Generative AI models for various targets, rewards, or objectives.
• Proficient in implementing advanced algorithms and adept at sourcing, cleaning, analyzing, and modeling large-scale data.
• You're a creative problem-solver who is passionate about digging into complex problems and devising innovative ways to reach results.

• This role is based in New York.
• 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.

The United States base range for this position is $132,073- $188,676 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, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.