Senior Staff Software Engineer, AI Mode and AI Overviews Helpfulness

About the role

MINIMUM QUALIFICATIONS:

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 7 years of experience leading technical project strategy, ML design, and

working with end-to-end applied machine learning (e.g., model deployment,

model evaluation, data processing, debugging).

• 5 years of experience with design and architecture; and testing/launching

software products.

• Experience in AI/ML quality evaluation and improvement.

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

PREFERRED QUALIFICATIONS:

• Master’s degree or PhD in Engineering, Computer Science, or a related

technical field.

• 8 years of experience with data structures and algorithms.
• 5 years of experience in a technical leadership role leading project teams

and setting technical direction.

• 3 years of experience working in a complex, matrixed organization involving

cross-functional, or cross-business projects.

• Experience driving quality improvements out-of-model (prompting, APO, modular

serving, orchestration) and in-model (post-training and evals).

ABOUT THE JOB:

Google's software engineers develop the next-generation technologies that change

how billions of users connect, explore, and interact with information and one

another. Our products need to handle information at massive scale, and extend

well beyond web search. We're looking for engineers who bring fresh ideas from

all areas, including information retrieval, distributed computing, large-scale

system design, networking and data storage, security, artificial intelligence,

natural language processing, UI design and mobile; the list goes on and is

growing every day. As a software engineer, you will work on a specific project

critical to Google’s needs with opportunities to switch teams and projects as

you and our fast-paced business grow and evolve. We need our engineers to be

versatile, display leadership qualities and be enthusiastic to take on new

problems across the full-stack as we continue to push technology forward.

This team focuses on improving foundational AI overview quality from

collaboration with Deepmind partners to improve underlying one recipe models to

end-to-end quality with prompt optimization, quality evaluations, and live

experiments. Our team's mission is to deliver quality by optimizing response

helpfulness to ensure the right content is included in a way that is easy to

consume.

In this role, you will work on improving Google Search's flagship GenAI

experiences, including AI overviews and AI mode, to be a trusted knowledge

companion with conversations that feel natural and effortless.

In Google Search, we're reimagining what it means to search for information –

any way and anywhere. To do that, we need to solve complex engineering

challenges and expand our infrastructure, while maintaining a universally

accessible and useful experience that people around the world rely on. In

joining the Search team, you'll have an opportunity to make an impact on

billions of people globally.

Individual pay is determined by factors including job-related skills,

experience, and relevant education or training.

US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

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 that shorten the path from experiment to launch.

• Drive quality improvements out-of-model and in-model.
• Define how all aspects of our work (measurement, hill-climbing, upstreaming)

should be adjusted to account for response aspects beyond text.

• Establish strong collaborations to align priorities and technical direction.