Senior Software Engineer, Search Personalization Quality

About the role

MINIMUM QUALIFICATIONS:

• Bachelor's degree or equivalent practical experience.
• 5 years of experience with software development in C++, Java, or Python.
• 3 years of experience in developing search quality algorithms, ranking

systems, or information retrieval models.

• 3 years of experience in building, scaling, and deploying personalization

algorithms or recommendation systems in production environments.

• 3 years of experience testing, maintaining, or launching software products,

and 1 year of experience with software design and architecture.

• 1 year 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 or a related technical field.
• 5 years of experience with data structures and algorithms, and software

development using Kotlin.

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

cross-functional, or cross-business projects.

• 1 year of experience in a technical leadership role.
• Experience with quality changes for large-scale consumer features or

products, including prior experience developing on Search infrastructure.

• Ability to work on a central, high-visibility team, with deadlines driven by

regulations and company-wide product initiatives.

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.

With your technical expertise you will manage project priorities, deadlines, and

deliverables. You will design, develop, test, deploy, maintain, and enhance

software solutions.

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: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google

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

RESPONSIBILITIES:

• Define the technical roadmap driving priority Search Personalization Quality

components across AI Mode and apply them in AI Overviews.

• Solve personalization triggering problems by understanding the intersection

of query intent, user context, and real-world context to expand Personal

Intelligence reach across eligible search queries.

• Improve personalization response quality by designing and validating

solutions for accurate personalization signals application via context

engineering and ranking.

• Work with the personalization evaluation team and AI Experience (AIX) quality

team to accelerate personalization wins and benefit horizontal AIX quality.

• Collaborate cross-functionally with Product Managers and Analysts, and across

organizations (Infrastructure, Evaluation, Trust, Search Platforms, and

Verticals) to understand technical limitations and design solutions that

drive personalization expansion and response quality.