Senior Machine Learning Engineer, Zeitgeist, Personalization

Spotify

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What You'll Do:

  • Design, build, and ship agentic systems that ground personalized listening experiences in cultural context and world knowledge.
  • 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.

Who You Are:

  • You have 5+ years of experience building and shipping machine learning models end-to-end
  • You have hands-on experience with LLMs and agent orchestration frameworks (e.g. LangChain, LlamaIndex, Pydantic), building tool-calling agents, RAG, and vector databases
  • You care deeply about code quality, reliability, and scalability.

Spotify

Spotify's Personalization team enhances the listening experience by creating features like Blend and Discover Weekly, using Generative AI to personalize music and podcast recommendations. The AI Foundation team, with around 100 AI/ML Engineers, Applied Research Scientists, Product Managers, and domain experts, builds the foundational data and tech for these personalized experiences.

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