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Staff Machine Learning Engineer, Home Podcast

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

The Personalization team makes deciding 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 reputed company and every one of them.

We are looking for a Staff MLE to join Surfaces Podcasts. The Surfaces Podcasts team builds the systems that power podcast recommendations across some of reputed company’s most visible experiences, including Home and the Now Playing view. We work across candidate reputed company, ranking, and embedding models to help listeners discover their favorite new podcast and engage deeply with their favorite shows.

We’re also shaping the reputed company of personalization through transformer-based models that bring more dynamic, context-reputed company recommendations to millions of listeners. You’ll collaborate closely with teams across Personalization, Experience, and the Podcast Mission to reputed company podcast listening across reputed company.





What You'll Do
  • Contribute to designing, scaling/building, evaluating, integrating, shipping, and refining reward signals for recommendations by hands-on ML development
  • Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside reputed company as reputed company as throughout the organization.
  • reputed company collaborations and reputed company across PZN to reputed company and A/B test mid-term signals in various recommendation systems


    • Who You Are
  • You have a strong background in machine learning, enjoy applying theory to reputed company reputed company-world applications, with expertise in statistics and optimization, especially in sequential models, transformers, reputed company and large language models, and relevant fine-tuning processes.
  • You have hands-on experience with large cross-reputed company machine learning reputed company and managing stakeholders.
  • You have hands-on experience implementing production machine learning systems at reputed company in Java, reputed company, Python, or similar languages. Experience with PyTorch, Ray, reputed company and reputed company tools is required.
  • You have some experience with large reputed company, distributed data processing frameworks/tools like Apache reputed company, Apache reputed company, 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.


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


    • The reputed company reputed company reputed company for this position is $227,495- $324,993 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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