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Staff Applied ML Software Engineer, Recommendations, YouTube

Google· YouTube
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San Bruno, CA, USA$207k - $300kfull-timePosted 3d ago

About the role

Staff level applied ML software engineering role focusing on building and improving YouTube recommendation systems, with emphasis on ML infrastructure, model architecture, and leading technical initiatives across distributed teams.

Responsibilities

  • Provide technical leadership on high-impact projects. Manage project priorities, deadlines, and deliverables.
  • Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach a distributed team of engineers.
  • Lead the design and implementation of recommendation systems, optimize ML infrastructure, and guide the development of model architecture.
  • Be comfortable analyzing data, drawing conclusions from the logs and using ML to improve the product.

Qualifications

  • Bachelor's degree in Computer Science or a related field, or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience building and deploying recommendation systems models (retrieval, prediction, ranking, embedding) in production, and experience building architecture in different modeling domains.
  • 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  • 3 years of experience in Applied Machine Learning.
  • Experience with publications in ML, or a related field.

Skills

Required:Technical leadershipMachine Learning

Benefits

  • Learn more about benefits at Google (link provided in job description).
Last updated Oct 23, 2026. Interested? Apply on the company site.

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