Staff ML Engineer: AI Content Quality for Search

Google; Mountain View (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google engineers are building the next-generation technologies that power Discover, Notifications, and Search at massive scale. This Staff Machine Learning Engineer role focuses on AIGC quality, context engineering, and content understanding for proactive surfaces across billions of users.

You will create agentic loops and evaluation frameworks ensuring factuality, freshness, coherence, and tone for AI-generated content, influencing Google's ML strategy and delivery at scale.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience in machine learning, NLP, 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.

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.

Skills

Software development

Machine learning

Natural language processing

AIGC quality evaluation

Generative AI integration

Education

Bachelor's degree or equivalent practical experience

Master's or PhD in Engineering/CS/related field

Tools

RLHF

LLM interfaces

AIGC frameworks

Evaluation pipelines

Job description

Google engineers are building the next-generation technologies that power Discover, Notifications, and Search at massive scale. This Staff Machine Learning Engineer role focuses on AIGC quality, context engineering, and content understanding for proactive surfaces across billions of users.

You will create agentic loops and evaluation frameworks ensuring factuality, freshness, coherence, and tone for AI-generated content, influencing Google's ML strategy and delivery at scale.