Staff Software Engineer, AI/ML GenAI, Search Intelligence

Share Staff Software Engineer, AI/ML GenAI, Search Intelligence

Google Mountain View, CA, USA

• Bachelor's degree or equivalent practical experience.


• 8 years of experience in software development.


• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.


• 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).


• 2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).

Preferred qualifications:

• Master’s degree or PhD in Computer Science, Applied Mathematics, Statistics, Data Science, Machine Learning, or a quantitative field.


• 8 years of experience architecting and operating large-scale distributed systems or ML infrastructure in Python, C++, or Java.


• Experience with statistical modeling, hypothesis testing, sampling theory, reliability metrics, and data science tools (e.g., Pandas, PyTorch).


• Experience designing measurements that capture GenAI user behavior, conversational experiences, and multidimensional product quality.

Experience leading major engineering initiatives to production deployment and driving technical alignment across teams.

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.

We are seeking a Staff Software Engineer with a deep background in machine learning and data science to serve as a technical lead. You will evaluate AI Overviews for factual accuracy and its impact on user experience, playing a critical role in delivering the most factual AI globally. You will set the architectural direction and scientific excellence for evaluating Search’s AI products. Bridging advanced statistical methodology with production-scale software engineering, you will architect trusted automated evaluation systems and deploy company-wide standards at Search-wide scale.

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: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

• Define the long-term technical roadmap and architectural standards for automated evaluation infrastructure.


• Establish company-wide metric definitions and taxonomies that faithfully capture user behavior and the multidimensional quality of GenAI experiences.


• Lead the design and implementation of highly scalable, production-grade autorater systems.


• Drive advanced statistical methodologies to validate autorater accuracy against production user signals and labeled ground truth.


• Partner with cross-functional teams to integrate statistically significant evaluations into the systems, while mentoring engineers in measurement best practices.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.