Staff AI/ML Engineer, Search Ads Quality & Scale

Google LLC; Pittsburgh (Allegheny County); On-site; USD 207,000 - 300,000; Full time

Job summary

Google LLC is seeking a Staff Software Engineer for Search Ads Syndication Quality AI/ML in the United States. The role emphasizes leading ML design, deploying scalable AI systems, and integrating generative AI into workflows across a matrixed org.

Strong collaboration with AdsML and cross-functional partners is expected. Candidates should have deep experience in software development, ML infrastructure, and end-to-end model lifecycle, with a track record of leadership and impactful delivery in

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing, and launching software products.
• 3 years of experience with software design and architecture.
• 5 years of experience with one or more ML areas (speech/audio, RL, ML infra, or related).
• 5 years of experience leading ML design and optimizing end-to-end ML systems.
• Experience integrating generative AI tools or LLM interfaces into workflows.

Responsibilities

• Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
• Provide technical leadership on projects; manage priorities, deadlines, and deliverables.
• Facilitate alignment across teams on goals, outcomes, and timelines; coach distributed engineers.
• Lead design and implementation of ML solutions, optimize infrastructure, and guide data processing strategies.

Skills

Software development

ML design & deployment

Generative AI / LLM

Leadership

Systems architecture

Education

Bachelor’s degree or equivalent practical experience

Master’s degree or PhD in Engineering or CS

Job description

Google LLC is seeking a Staff Software Engineer for Search Ads Syndication Quality AI/ML in the United States. The role emphasizes leading ML design, deploying scalable AI systems, and integrating generative AI into workflows across a matrixed org.

Strong collaboration with AdsML and cross-functional partners is expected. Candidates should have deep experience in software development, ML infrastructure, and end-to-end model lifecycle, with a track record of leadership and impactful delivery in