Spotify
Spotify1mo ago

Senior Machine Learning Engineer - Generative UI Platform

StockholmPermanentsenior
Machine Learning EngineerData
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Quick Summary

Technical Tools
Machine Learning EngineerData

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
  • 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.
  • Location & Eligibility

    Where is the job
    Stockholm
    Hybrid — some on-site time required
    Who can apply
    Same as job location

    Listing Details

    Posted
    March 26, 2026
    First seen
    April 28, 2026
    Last seen
    May 4, 2026

    Posting Health

    Days active
    5
    Repost count
    0
    Trust Level
    33%
    Scored at
    May 4, 2026

    Signal breakdown

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    Spotify
    Spotify
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    Our mission is to unlock the potential of human creativity—by giving a million creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by it.

    Employees
    3k+
    Founded
    2006
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    SpotifySenior Machine Learning Engineer - Generative UI Platform