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.

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