Recommendation Model Specialist

4 days ago


Stockholm, Stockholm, Sweden Spotify Full time

Personalization at Scale

We're looking for a Machine Learning Engineer II to help us deliver personalized music and podcast recommendations to our hundreds of millions of active users. As a key member of our team, you will design, develop, and deploy machine learning algorithms that power our personalization products.

Responsibilities
  • Develop and deploy machine learning algorithms that enable personalized music and podcast recommendations.
  • Collaborate with cross-functional teams to identify areas for improvement and drive innovation in personalization.
  • Stay up-to-date with the latest advancements in machine learning and apply them to real-world problems.
  • Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization.
Requirements
  • A strong background in machine learning and experience with bandit algorithms, LLMs, and/or other methods relevant to recommendation systems.
  • Hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages.
  • Familiarity with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, or cloud platforms like GCP or AWS.
  • Strong understanding of agile software processes, data-driven development, reliability, and disciplined experimentation.
  • A passion for delivering high-quality results and meeting deadlines.


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