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Staff ML Engineer, Search Discover Feed Recommendation

Google· Google Mountain View Engineering
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Mountain View, CA$207k - $300kfull-timePosted 4w ago

About the role

Staff Machine Learning Engineer focusing on Search AIGC Quality within the Discover Feed Recommendation team, responsible for AIGC quality control, context engineering, and evaluation frameworks to ensure factuality, freshness, coherence, and tone of AI-generated content across proactive surfaces like Discover and Notifications.

Responsibilities

  • Build advanced AI-generated content (AIGC) quality frameworks and agentic flows to generate content for proactive surfaces like Discover and Notifications.
  • Develop AI-generated content through advanced context engineering and agentic feedback loops to identify and deliver engaging stories globally.
  • Conduct advanced quality evaluations and leverage downstream dense recommendation signals and feedback to improve the performance of the AIGC stack.
  • Resolve key system-level bottlenecks in recommending and serving AIGC content to optimize efficiency for low-latency surfaces.
  • Navigate high ambiguity, drive technical innovation for AIGC quality, and influence the broader organizational machine learning strategy.

Qualifications

  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience in machine learning, recommendation systems, natural language processing, or a related field.
  • Experience building offline and online quality evaluation frameworks for Large Language Models (e.g., LLM-as-a-judge, RLHF, DPO).
  • Experience integrating generative AI tools or LLM interfaces into workflows.

Skills

Required:AI-generated content quality frameworksContext engineeringEvaluation frameworks for LLMsSystem optimization for low-latency surfaces

Benefits

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

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