Spotify has more than 500M 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 provides the technology to serve them what they expect to find, to help them explore and find new things to enjoy, and for us to suggest things they might not be aware of that they would like.
We are looking for a Research Scientist with an economics background and past experience in machine learning. Past experience on recommender systems is a plus, but not a necessity. 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 help us improve personalization experiences by striking a balance between users and creators through a combination of economic and ML skills, with the goal of creating a mutually beneficial experience for both.
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.