Spotify

Spotify is seeking a Machine Learning Engineer to join the Music Promotion team to build systems that help creators understand and optimize the performance of their promoted tracks. The role involves designing, building, and refining machine learning models to provide actionable insights for promotion strategies. Key responsibilities include collaborating with multidisciplinary teams to optimize models for production, influencing technical architecture, and transitioning models from research to deployment. The engineer will also implement success metrics, diagnose issues, and participate in on-call schedules to maintain system stability. This position is appealing for its focus on innovative, cutting-edge ML architectures and the opportunity to work with large-scale datasets and modern infrastructure. Candidates with experience in causal ML, counterfactuals, and tools like Apache Beam or GCP are preferred. The role offers flexibility to work within the EST time zone, supporting a collaborative environment where diverse perspectives drive innovation. Spotify’s mission to unlock human creativity and support artists globally provides a meaningful context for this technical work, combining impactful product development with a supportive and inclusive company culture. View more