Senior Staff Machine Learning Engineer - Agentic Systems

Spotify’s Personalization team is building the next generation of intelligent listening experiences. Across surfaces like DJ, Search, AI Playlists, and Home, we’re evolving from standalone features into a unified, agent-powered platform.

Generative AI is reshaping how we build products and systems. As part of this shift, we’re creating a shared Agent Engine that powers agent-based experiences across Spotify. You’ll join a cross-functional group of engineers, researchers, and product partners working at the intersection of distributed systems, machine learning, and user experience to shape how millions of listeners interact with audio every day.

Spotify’s Personalization team is building the next generation of intelligent listening experiences. Across surfaces like DJ, Search, AI Playlists, and Home, we’re evolving from standalone features into a unified, agent-powered platform.

Generative AI is reshaping how we build products and systems. As part of this shift, we’re creating a shared Agent Engine that powers agent-based experiences across Spotify. You’ll join a cross-functional group of engineers, researchers, and product partners working at the intersection of distributed systems, machine learning, and user experience to shape how millions of listeners interact with audio every day.

The Personalization team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music and podcasts better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build which include destinations like Home and Search, original playlists like Discover Weekly and Daylist, and are at the forefront of new innovations like AI DJ and AI Playlists. Generative AI is transforming Spotify’s product capabilities and technical architecture. Generative recommender systems, agent frameworks, and LLMs present huge opportunities for our products to serve more user needs and use cases and unlock richer understanding of our content and users. This Senior Staff Machine Learning Engineer will focus on recommender systems modeling at the intersection of generative recommenders and foundational understanding of personalization across music and talk content formats. You will work closely with a cross-functional team to define and execute the machine learning technical strategy for the product area, building the next generation of Spotify content and user representations and the technical architecture to support it. You will work as an individual contributor, offering the opportunity to shape the direction of Home loading paradigms, page serving, content filtering and content storage. Join us and you’ll keep millions of users listening to great recommendations every day!   What You'll Do

Lead the technical architecture of Spotify’s Agent Engine, the shared runtime that powers agent-based experiences across the platform

Guide the transition of existing agent-powered features into a unified system, balancing speed, reliability, and real-world product constraints

Design how internal systems can be exposed as agent capabilities, enabling seamless integration across recommendations, search, catalog, and more

Build and improve evaluation systems that help teams measure quality, reliability, and user impact with confidence

Partner with research and machine learning teams to define what belongs in system design versus model capabilities

Explore and prototype new approaches to agent-based systems, and bring successful ideas into production at scale

Support best practices in building production-ready AI systems, including experimentation, observability, and performance optimization

Contribute to technical standards that help teams move faster while maintaining security and reliability

Stay connected to advances in the AI and machine learning community, and apply relevant ideas to Spotify’s products

Who You Are

You have experience building and scaling production AI systems, including systems powered by large language models

You are comfortable working across system design, infrastructure, and machine learning concepts, and enjoy connecting these areas

You have experience with areas such as agent orchestration, LLM infrastructure, evaluation systems, or data pipelines for machine learning

You have worked on platform or consolidation efforts that bring multiple systems or teams together

You are able to make progress in ambiguous problem spaces and bring structure to open-ended challenges

You communicate clearly and work well with engineering, product, and research partners across different levels of the organization

You stay informed on developments in AI and are motivated to apply new ideas in practical ways

You take a pragmatic approach to building, using prototypes and iteration to move ideas forward

You take ownership of outcomes and proactively manage risks, trade-offs, and expectations

Where You'll Be

We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have a work location

This team operates within the Eastern Standard time zone for collaboration

The United States base range for this position is $281,196 - $401,709 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future. 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. Apply To This Job