Senior Software Engineer, Search AI Quality

Google; Washington (District of Columbia); On-site; USD 174,000 - 252,000; Full time

Job summary

Google is hiring a software engineer for the Search team to advance large-scale information retrieval and AI-driven improvements across live events, weather, stock quotes, and travel. You will work with teams across Search Verticals, Search Intelligence, and DeepMind to close quality gaps on high-visibility queries and to build robust evaluation frameworks.

Compensation includes a base salary in the US range, a 15% bonus target, equity, and benefits.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of programming experience in Java, C/C++, Python, JavaScript, or Go.
• Experience with exploratory data analysis using R/Python and SQL.
• Experience evaluating search quality and improving query relevance.

Responsibilities

• Improve Search AI quality in Live Events topics.
• Collaborate with Search Verticals, Search Intelligence, and DeepMind.
• Identify factuality quality gaps across vertical slices.
• Build or enhance automated evaluation to speed error detection.
• Design experiments to improve AI-generated responses and reduce errors.

Skills

Programming languages

Data analysis

SQL

Search quality evaluation

Education

Bachelor's degree or equivalent practical experience

Tools

SQL

Job description

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Washington D.C., DC, USA; New York, NY, USA.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience programming in one or more general-purpose programming languages including, but not limited to, Java, C/C++, Python, JavaScript, or Go.
• Experience conducting exploratory data analysis using programming languages (e.g., R, Python) and database querying (e.g., SQL).
• Experience evaluating search quality or user interaction data to improve query relevance and search results.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
• Experience developing applications using Large Language Models (LLMs), agentic architectures, or Generative AI evaluation methodologies.
• Experience leading technical projects through the full development lifecycle, including design, implementation, experimentation, and deployment.
• Experience collaborating with cross-functional partners to prioritize tasks, execute project workstreams, and communicate progress.
• Experience applying AI-assisted development tools or autonomous agent coding to build and prototype software features.

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.

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

Responsibilities

Learn more about benefits at Google .

• Focus on improving Search AI quality in Verticals, specifically Live Events Factuality and Freshness for topics like live sports, stock quotes, weather, and travel.
• Work closely with teams across Search Verticals, Search Intelligence, and DeepMind to address critical quality gaps on high-visibility queries in Search and AI Mode.
• Engage in horizontal factuality quality programs across Search and GDM, and proactively identify new factuality quality gaps within Vertical slices.
• Build or enhance automated evals to speed up error detection and establish self-improvement loops.
• Design and run experiments to enhance quality and minimize errors in AI-generated responses, while actively representing Search Verticals and Infrastructure (SVI) in cross-Search forums.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .