Spotify Recommender System Engineer

15 hours ago


Stockholm, Stockholm, Sweden Spotify Full time

The Personalization team at Spotify is dedicated to creating unique experiences for every individual, leveraging powerful algorithms and machine learning techniques to deliver tailored content. As a Data Engineer, you'll be part of this innovative team, contributing to the development of recommendation systems that shape user interactions.

About the Role

This position requires expertise in designing, implementing, and deploying large-scale data pipelines using advanced frameworks and tools. You'll work collaboratively with engineers, product managers, and data scientists to develop and refine recommendation models, ensuring seamless integration with existing infrastructure.

Key Responsibilities
  • Develop and optimize Java services that process massive datasets, focusing on performance, reliability, and scalability.
  • Collaborate with data scientists to design and implement machine learning models that power personalized recommendations.
  • Work closely with stakeholders to identify areas for improvement and implement data-driven solutions.
  • Stay up-to-date with emerging technologies and trends, applying innovative approaches to data processing and analysis.
Requirements
  • Deep understanding of Scala, JVM-based data processing frameworks, and DevOps practices.
  • Experience with containerization using Docker and orchestration using Kubernetes.
  • Familiarity with machine learning principles and quality engineering.
  • Able to work independently and collaboratively within teams.


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