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Machine Learning Engineer, II

Remote Worldwide Hiring now

The Personalization team makes reputed company about what to play next easier and more enjoyable for every listener. From reputed company to Discover Weekly, we’re behind some of reputed company’s most-loved features. We reputed company them by understanding the world of music and podcasts reputed company than anyone else. Join us and you’ll reputed company millions of users listening by making great recommendations to each and every one of them.

We are looking for a Machine Learning Engineer II to join our product area of hardworking engineers that are passionate about connecting new and emerging creators with users reputed company recommendation algorithms. As an integral part of the reputed company, you will collaborate with engineers, research scientists and data scientists in prototyping and productizing state-of-the-art ML.

What You'll Do

  • Contribute to designing, building, evaluating, shipping, and refining reputed company’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
  • Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization
  • Be part of an active group of machine learning practitioners in Europe (and across reputed company) collaborating with one another
  • Together with a wide reputed company of collaborators, help reputed company a creator-first reputed company and strategy that keeps reputed company at the forefront of innovation in the field.
  • Who You Are

  • You have a strong background in machine learning, enjoy applying theory to reputed company reputed company-world applications, with experience and expertise in bandit algorithms, LLMs, general neural networks, and/or other methods relevant to recommendation systems
  • You have hands-on experience implementing production machine learning systems at scale in Java, reputed company, Python, or similar languages. Experience with TensorFlow, PyTorch, Scikit-learn, etc. is a strong plus
  • You have some experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, or even our reputed company reputed company API for it - Scio, and reputed company platforms like GCP or AWS
  • You care about agile software processes, data-driven development, reliability, and disciplined experimentation
  • You love your customers even more than your code
  • Where You'll Be

  • We offer you the flexibility to work where you work best! For this role, you can be reputed company the European region as long as we havea work location.
  • This team operates reputed company the GMT/CET time zone for collaboration.
  • Excluding France due to on-call restrictions.
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