Senior Machine Learning Engineer, Zeitgeist, Personalization

8 hours, 2 minutes ago
Full-time
Senior
Software Development
Spotify

Spotify

Spotify is a leading global audio streaming service empowering artists and inspiring fans worldwide with over 70 million tracks. It has 365 million users, including 165 million subscribers, across 178 markets.

Media
Founded 2006

Description

  • Design, build, and ship agentic systems that ground personalized listening experiences in cultural context and world knowledge.
  • Develop and maintain large-scale pipelines for extracting, structuring, and serving cultural signals.
  • Leverage LLMs and agentic workflows to turn real-time cultural signals into user-facing experiences.
  • Partner with engineers, data scientists, and product teams to integrate foundational cultural data and technology into new experiences.
  • Own components end to end, including data pipelines, model training, production serving, and monitoring.
  • Design and build evaluation tooling, including LLM-as-judge frameworks and dataset analysis methods.
  • Run experiments to measure the impact of cultural context signals on user experience and engagement.
  • Contribute to technical direction, architecture decisions, and 0-to-1 product development.

Requirements

  • 5+ years of experience building and shipping machine learning models end to end.
  • Strong foundation in Python; Java and Scala are a plus.
  • Experience with GCP tools such as Dataflow and BigQuery.
  • Hands-on experience with LLMs and agent orchestration frameworks such as LangChain, LlamaIndex, or Pydantic.
  • Experience building tool-calling agents, RAG systems, and vector databases.
  • Experience shipping production-scale, data-driven AI/ML systems in content understanding, knowledge graphs, NLP, MIR, or related domains is preferred.
  • Comfort operating in ambiguous, exploratory 0-to-1 environments.
  • Experience working effectively in collaborative, cross-functional teams.
  • Strong focus on code quality, reliability, and scalability.
  • Interest in inclusive, user-centric product development and AI/ML applied to product impact.

Benefits

  • Flexible remote work setup with the option to work where you work best.
  • Based in London or Stockholm.
  • In-person meetings are limited enough to preserve remote-work flexibility.
  • Reasonable accommodations are available during the interview and hiring process.
  • Equal opportunity and inclusive workplace commitment.
  • Support for accessibility needs throughout the application and interview process.

Interested in this position?

Apply directly on the company website

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