The Staff ML Engineer for Search Discover Feed Recommendation at Google will focus on enhancing AI-generated content quality and user engagement across Google's proactive surfaces. This role involves building advanced frameworks for quality evaluation and content generation, while also addressing complex engineering challenges. The engineer will work within a team dedicated to improving the recommendation systems and ensuring the factuality and coherence of AI-generated content. This position offers the opportunity to influence the broader organizational machine learning strategy and make a significant impact on billions of users globally.

• 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.
• Experience integrating generative AI tools or LLM interfaces into workflows.

• Build advanced AI-generated content quality frameworks and agentic flows 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 to improve AIGC performance.
• Resolve key system-level bottlenecks in recommending and serving AIGC content to optimize efficiency for low-latency surfaces.
• Navigate high ambiguity and drive technical innovation for AIGC quality.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.