• Define and drive the machine learning technical strategy for Spotify Home, spanning retrieval, ranking, page composition, layout optimization, and real-time personalization • Work at the intersection of recommender systems, generative models, and user intent understanding to deliver highly adaptive and engaging Home experiences • Lead hands-on development of ML models and systems, from prototyping new ideas to productionizing solutions at global scale • Provide senior-level technical leadership across multiple teams, influencing architecture, modeling choices, and long-term investments • Design, build, evaluate, ship, and iterate on large-scale ML systems that directly power Home for hundreds of millions of users • Partner closely with product, design, and user research to translate UX goals and user needs into robust ML systems • Drive best practices in experimentation, offline/online evaluation, model lifecycle management, and reliability • Help evolve Home toward more contextual, generative, and intent-aware experiences, leveraging transformers, sequence models, and emerging techniques • Collaborate with platform and foundation teams to effectively leverage shared models and infrastructure while tailoring solutions to Home’s unique needs • Mentor senior engineers and influence technical standards through thoughtful reviews, documentation, and architectural guidance • Act as a technical ambassador for Home within Spotify’s broader ML community, staying current with research and industry trends