Senior Machine Learning Engineer, Zeitgeist, Personalization

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. The AI Foundation team within Personalization provides the state-of-the-art foundational data and tech with which we are inventing and shipping new interactive, personalized listening experiences. You'll join the Zeitgeist squad within the AI Foundation team, which focuses on building the systems and models that help Spotify understand culture in real time.

Requirements

• Design, build, and ship agentic systems that ground personalized listening experiences in cultural context and world knowledge, used by hundreds of millions of Spotify users
• Develop and maintain pipelines for extracting, structuring, and serving cultural signals at scale, leveraging LLMs and agentic workflows
• Partner closely with teams across Personalization to integrate foundational cultural data and tech into new agentic listening experiences
• Own components end-to-end — from data pipelines and model training to production serving and monitoring
• Design and build evaluation tooling (including LLM-as-judge frameworks and dataset analysis), and run experiments to evaluate the impact of cultural context signals on user experience and engagement
• Help define the technical direction of the squad, contributing to architecture decisions, and shaping what building '0-to-1' experiences looks like in practice

Benefits

• 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

Originally posted on Himalayas