Senior Machine Learning Engineer - Generative UI Platform

UI Studio is Spotify’s internal generative UI prototyping platform that enables teams to spin up fully functioning replicas of Spotify surfaces — complete with playable music — to explore and pitch new product ideas. What started as a small internal project has evolved into a widely adopted platform, and we’re now expanding it into a full generative UI system where teams can prompt for the interfaces they need. You’ll join a small, high-impact team working at the intersection of machine learning, design systems, and product development — helping shape how user interfaces are imagined and built at Spotify.

What You'll Do Shape the machine learning direction for UI Studio as it evolves into a generative UI platform Build systems that translate natural language into fully functional UI experiences through applied agent chat Design and implement agent-based architectures (e.g., Claude Agent SDK or similar) as the core interaction layer for UI generation Lead work on computational understanding of UI — transforming design files, product specs, and prompts into structured, machine-readable representations Develop pipelines that convert unstructured inputs (e.g., Figma files, free-form prompts, internal data) into structured UI blueprints Apply ML techniques to generate, interpret, and manipulate visual interface structures at scale Partner closely with design and product to bridge the gap between human intent and generated UI output Help integrate an evaluation framework into the application to help guide our system to produce better results Contribute to evolving the ML and agent tech stack across TypeScript and Python environments Help scale the platform from early adoption into a foundational capability used across Spotify Who You Are You have strong experience in machine learning, with a focus on applied AI systems in production environments You bring deep experience in Computational Design — especially how structured representations can be derived from unstructured inputs You have worked on problems involving transforming text, design artifacts, or multimodal inputs into structured outputs You are experienced with agent-based systems and LLM orchestration frameworks (e.g., Claude Agent SDK or similar) You understand how to design applied agent chat systems, where natural language is the primary interface You are comfortable working with natural language parsing, intent extraction, and building systems that interpret human input reliably You have experience working with design systems, UI data, or adjacent domains (e.g., Figma APIs, front-end structures, or visual representations) You are experienced with modern ML stacks and can work across Typescript and/or Python You care about building intuitive, high-quality user experiences powered by ML, not just models in isolation You enjoy working in small, high-impact teams where ambiguity is part of the problem space Where You'll Be This role is based in Stockholm We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.