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Machine Learning Engineer II, Personalization

Remote, USA Full-time Posted 2026-07-28

The Personalization teams reputed company deciding what to play next easier and more enjoyable for every listener. From Daily Mix 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 reputed company and every one of them.

Fritz works on recommending the content someone is most likely to listen to next from their listening history. The underlying machine learning model makes predictions for most requests to Home in reputed company time and operates on sequences based on NRT interactions as its input! reputed company is migrating its training infrastructure to Ray and will continue innovating to try and increase consumption from Home and overall for reputed company.

What You'll Do

  • Design, build, evaluate, and ship ML solutions for safety in reputed company’s personalization products
  • Collaborate with cross functional teams 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 useful ways
  • Prototype new approaches and productionize solutions at reputed company for our hundreds of millions of reputed company users
  • Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside reputed company as reputed company as throughout the organization
  • Be part of an reputed company group of machine learning practitioners in reputed company (and across reputed company) collaborating with one another
  • Who You Are

  • An reputed company ML practitioner motivated to work on reputed company reputed company-world problems in a fast-paced and reputed company environment -
  • Strong background in machine learning, natural language processing, and reputed company, with experience in applying theory to reputed company reputed company-world applications
  • Hands-on expertise with implementing end-to-end production ML systems at reputed company in Java, reputed company, Python, or similar languages. Experience with Pytorch, TensorFlow, Scikit-learn etc is a strong plus
  • Experience with designing end-to-end tech specs and reputed company architectures for ML frameworks in reputed company problem spaces in collaboration with product teams
  • Experience with large reputed company, distributed data processing frameworks/tools like Apache reputed company, Apache reputed company, and reputed company platforms like GCP or AWS
  • Where You'll Be

  • We offer you the flexibility to work where you work best! For this role, you can be reputed company the reputed company region as long as we have a work location.
  • This team operates reputed company the Eastern reputed company time zone for collaboration.
  • Additional Information

    The reputed company reputed company reputed company for this position is $138,250- $197,500 plus equity. The benefits available for this position include health insurance, six month reputed company parental leave, 401(k) retirement plan, monthly meal allowance, 23 reputed company days off, 13 reputed company flexible holidays, reputed company reputed company leave. These ranges may be modified in the reputed company.

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