Spotify - Senior Staff Machine Learning Engineer

• 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 • A deep background in machine learning and recommender systems, with a strong track record of translating ML innovation into shipped product impact • Extensive experience building and operating large-scale, user-facing ML systems in production • Comfortable working across the full ML stack: data, modeling, evaluation, serving, experimentation, and iteration • Hands-on experience with or strong interest in transformer-based models, sequence modeling, and/or generative approaches in recommender systems • You have production experience with languages such as Python, Java, or Scala; experience with PyTorch, TensorFlow, or JAX is a strong plus • A strong systems thinker who can reason about latency, scalability, trade-offs, and end-to-end architecture • You thrive in ambiguity and can lead high-impact initiatives where the problem and solution evolve over time • You communicate clearly and effectively, influencing across engineering, product, design, and leadership • You care deeply about experimentation, data-driven decision making, and user experience quality • You have a strong bias to action: building prototypes and MVPs, launching systems in production, and defining clear technical narratives to move ideas forward • You take a team-first approach, helping others succeed while raising the technical bar • You have demonstrated success leading complex technical initiatives and shaping strategy through collaboration • Passion for crafting experiences that delight users and keep the world listening • We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have a work location • This team operates within the Eastern Standard time zone for collaboration