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. You will join a team of researchers whose focus is on enhancing the Spotify experience by researching, developing, and integrating state-of-the-art generative AI technologies into our search and recommender systems, and unlock new interactive experiences.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.Areas of expertise: Information Retrieval, Recommendation System, Language Technologies, Foundational Models, Generative AI Technologies, and Machine LearningWhat You'll DoParticipate in groundbreaking research in artificial intelligence with a focus on large-scale generative applications to search and recommendation systemsApply your scientific knowledge to analyze and collect data, identify problems, construct methodologies, including metrics and standard processes, conduct experiments, and devise scalable solutions through hands-on prototyping and developmentWork on practical applications such as search, recommendation, language understanding in the music and talk audio domainsCollaborate with other scientists, engineers, product managers, designers, and data analysts across Spotify to design and develop innovative solutions to challenging problemsImpact Spotify products, while working on and iterating further a long-term research roadmapMaintain a research profile through external engagement by publishing scientific papers, coordinating workshops, giving talks, and being an active community member at top conferencesWho You AreYou have a PhD in either information retrieval, intelligent systems, machine learning, computer science, or related areasYou have expertise in domains such as language technologies, generative AI technologies, information retrieval, and recommender systemsYou have peer-reviewed publications at journals or conferences such as RecSys, TheWebConf, WSDM, SIGIR, EMNLP, ACL, COLM, ICML, ICLR, NeurIPS, or relatedYou have solid hands-on skills in sourcing, cleaning, manipulating, analyzing, visualizing, and modeling of large scale real dataYou are passionate about making sense of user behavior, music content, and talk audio content using best available methodsYou are a creative problem-solver who is passionate about digging into complex problems and devising new approaches to reach resultsWhere You'll BeThis role is based in London or StockholmWe 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 homeSpotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.Originally posted on Himalayas

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