Contribute to defining the machine learning technical strategy at the intersection of generative recommenders and foundational user modeling. Collaborate with a cross functional agile team spanning user research, design, data science, product management, and engineering to build new product features that connect fans and artists in personalized, meaningful ways. Provide expert technical leadership and direction to accelerate development, ensure scalability and push the boundaries of current methods. Contribute to designing, building, evaluating, shipping, and refining Spotifyβs personalization products by hands-on ML development.
Prototype new modeling approaches and productionize solutions at scale for our hundreds of millions of active users. Promote and role-model best practices of ML model development, testing, evaluation, etc., both inside the team as well as throughout the organization. Engage with the broader ML community within Spotify and stay current with ML research to inspire and evolve our approaches.