Research Scientist

Job Description

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 state-of-the-art generative AI technologies into our recommender systems. You will join a team of machine learning researchers whose focus is on innovating the Spotify experience through researching and developing ML technologies that power intelligent user experiences for long-term satisfaction. You will be part of an interdisciplinary team focusing on ensuring that the foundations of Spotify technologies are at or above the state of the art and, in the process, redefine the state of the art for the field and contributing to the wider research community by publishing papers. Our team has strong ties internally to product groups as well as externally to the research community.

What You'll Do

• Participate in groundbreaking research in machine learning.
• Apply your scientific knowledge to analyze and collect data, perform analyses, identify problems, devise solutions and construct methodologies, including metrics and standard processes, and conduct experiments to validate these.
• Work on practical applications such as recommendation, search, voice and language understanding, and areas related to music and talk audio.
• 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.

Who You Are

• You have a PhD or is currently enrolled in a PhD program in machine learning or related areas.
• A solid understanding of machine learning and past research experience on recommender systems.
• Publications at top machine learning conferences or journals such as NeurIPS, ICML, ICLR, KDD, Recsys, SIGIR or related.
• Solid hands-on skills in sourcing, cleaning, manipulating, analyzing, visualizing and modeling of real data.
• You have a passion for making sense of user behavior, especially talk and music content, using the best available methods.
• You're a creative problem-solver who is passionate about digging into complex problems and devising new approaches to reach results.

Where You'll Be

• You'll be based in London.

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