Spotify
AI

Senior Machine Learning Engineer - Generative UI Platform

Spotify · Stockholm · $126k - $150k

Actively hiring Posted about 12 hours ago

Role overview

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 work on

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.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.

Spotify transformed music listening forever when we launched in 2008. 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 chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice

Tags & focus areas

Used for matching and alerts on DevFound
Engineer Machine Learning Senior Design Typescript Python