Senior Staff AI Systems Engineer - Quality & Scale

Google LLC; New York (NY); On-site; USD 262,000 - 364,000; Full time

Benefits offered by this job

Equity

Bonus target

Job summary

Google LLC in New York, NY, USA is seeking a Senior Staff Software Engineer to advance AI mode and AI overview helpfulness, owning outcomes and guiding cross-functional teams. You will shape the technical strategy, drive ML deployment and evaluation, and influence end-to-end product quality for large-scale systems.

You will collaborate across product and research teams to improve quality, design scalable infrastructure, and push production pipelines for next-generation GenAI experiences in

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 7 years leading technical project strategy, ML design, and end-to-end ML.
• 5 years design/architecture and launching software products.
• Experience in AI/ML quality evaluation and improvement.
• Experience integrating generative AI tools or LLM interfaces into workflows.

Responsibilities

• Own the technical strategy and roadmap for whole-response helpfulness across AI mode and AI overviews.
• Architect scalable quality infrastructure and closed-loop self-improving systems.
• Drive quality improvements out-of-model and in-model.
• Define how measurement, hill-climbing, upstreaming should be adjusted for non-text aspects.
• Establish strong collaborations to align priorities and technical direction.

Skills

ML design

End-to-end ML

System design

Decision making

Stakeholder influence

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD (preferred)

Job description

Google LLC in New York, NY, USA is seeking a Senior Staff Software Engineer to advance AI mode and AI overview helpfulness, owning outcomes and guiding cross-functional teams. You will shape the technical strategy, drive ML deployment and evaluation, and influence end-to-end product quality for large-scale systems.

You will collaborate across product and research teams to improve quality, design scalable infrastructure, and push production pipelines for next-generation GenAI experiences in