Machine Learning Architect for Recommendation Systems

11 hours ago


Stockholm, Stockholm, Sweden Spotify Full time

We're shaping the future of music discovery and recommending listening experiences that resonate with our users. Join our Personalization team at Spotify as a Senior Machine Learning Engineer and help us achieve this goal.

You'll be responsible for designing, building, evaluating, shipping, and refining Spotify's personalization products using machine learning algorithms. This involves collaborating with cross-functional teams to build new product features and prototype new approaches to productionize solutions at scale.

Responsibilities
  • Develop and deploy machine learning models to enhance user experience.
  • Collaborate with engineers, research scientists, and data scientists to design and develop new product features.
  • Prototype new approaches and productionize solutions at scale for hundreds of millions of active users.
  • Promote best practices of ML systems development, testing, evaluation, etc., throughout the organization.
Requirements
  • Strong background in machine learning and ability to apply theory to develop real-world applications.
  • Hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages.
  • Expertise in bandit algorithms, LLMs, general neural networks, and/or other methods relevant to recommendation systems.
  • Care about agile software processes, data-driven development, reliability, and disciplined experimentation.


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