Senior Machine Learning Engineer


Job Overview

What You’ll Do

  • Contribute to designing, building, evaluating, shipping, and refining Spotify’s personalization products by hands-on ML development
  • Collaborate with a cross functional agile team spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and relevant ways
  • Prototype new approaches and productionize solutions at scale for our hundreds of millions of active users
  • Drive optimization, testing, and tooling to improve quality
  • Be part of an active group of machine learning practitioners across Spotify
  • Who You Are

  • You have a strong background in machine learning, enjoy applying theory to develop real-world applications, with experience and expertise in machine learning algorithms for recommender systems. Familiarity with reinforcement learning approaches is a big plus. You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages. Previous industry experience with frameworks such as Tensorflow and the Tensorflow ecosystem (TFX) is also a plus.You have experience with data pipeline tools like Apache Beam, Scio, etc., and cloud platforms like GCP or AWSYou care about agile software processes, data-driven development, reliability, and disciplined experimentationYou routinely survey research publications in the machine learning and software engineering communitiesYou love your customers even more than your code
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