Spotify’s 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 opportunity to enjoy and be inspired by it. We are looking for Research Scientists for Spotify’s Personalization organization with a focus on reinforcement learning. Personalization is a high impact team that is building the next generation technologies aimed at making every user interaction with Spotify amazing through personalization and discovery. Our goal is to deliver the right content to the right user at the right time in order to maximize user satisfaction.
Successful applicants are expected to conduct research on and apply reinforcement learning techniques (decision making, planning and/or control) with a focus on applications in personalized recommendations of audio content. This is an opportunity to revolutionize audio recommendation with reinforcement learning based approaches by collaborating with multiple teams to reshape Spotify’s existing products and develop new products.
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 - Reinforcement Learning