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

• 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

• 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.

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