The Personalization team at Spotify aims to make content discovery effortless and enjoyable for every listener by deeply understanding music, podcasts, audiobooks, and videos, delivering exceptional recommendations that keep millions of people worldwide engaged with our products daily. The Home page plays a pivotal role in shaping the technical vision and architecture of recommendation systems that power the Spotify Home page, and this role will focus on recommender systems modeling at the intersection of generative recommenders and a foundational understanding of user taste across music and talk content.
Requirements
- You have hands-on experience training and operating transformer models in production, or strong interest in doing so
- You have production experience developing large-scale ML systems in Java, Scala, Python, or similar languages.
- Experience with PyTorch or TensorFlow is a strong plus
- You’re eager to apply emerging ML trends, particularly in LLMs and generative recommenders, to Spotify’s challenges
Responsibilities
- Define and drive the ML technical strategy for Home, focusing on generative recommendation approaches
- Build models that improve user representations, personalization, and relevance across Spotify’s experiences
- Prototype and productionize new modeling approaches at scale, serving hundreds of millions of users worldwide
- Lead high-impact projects from ideation through deployment, setting best practices for ML development, testing, evaluation, and experimentation
- Stay engaged with the broader ML and Search research community, applying emerging trends to Spotify’s challenges
- Build the next generation of Spotify’s recommendation systems, user representations, and supporting technical architecture
- Expand its technology to take advantage of LLMs and other Generative Recommender products
Other
- Collaborate with a cross-functional agile team spanning user research, design, data science, product management, and engineering
- Partner with tech leaders and stakeholders to influence priorities and ensure long-term scalability and impact
- You are comfortable navigating ambiguity and leading high-impact projects from start to finish
- You’re a systems thinker and strong communicator who can align and influence technical and product stakeholders
- You care deeply about agile processes, data-driven development, and reliability.
