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X In most instances, this position requires in-person interviews as part of the hiring process.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 with software development in one or more programming languages.
- Experience evaluating search relevance, information retrieval systems, or search quality metrics (e.g., NDCG, precision, recall).
- Experience conducting exploratory data analysis on datasets using programming languages such as SQL, R, or Python.
Preferred qualifications: - Master's degree or PhD in Computer Science or related technical field.
- Experience developing and evaluating Generative AI systems, including Large Language Models (LLMs) and agentic architectures.
- Experience leading projects through the full software development lifecycle, including design, implementation, experimentation, and deployment.
- Experience utilizing AI-assisted coding platforms or autonomous developer agents to design, prototype, and build software solutions.
About the jobGoogle'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
Learn more about benefits at Google .
Responsibilities - Improve SVI AutoRater capabilities for critical quality dimensions, with a near-term focus on live events factuality and freshness in verticals such as live sports, media analysis, real-time stock quotes, and weather.
- Interface directly with Search Platforms, Search Intelligence, and DeepMind counterparts to improve the quality of shared, horizontal AutoRaters in Search and DeepMind.
- Design and develop new AI-based raters to detect and diagnose quality gaps within AI products in Search and AI Mode.
- Reduce quality iteration cycles from hours to minutes by enhancing the sensitivity and effectiveness of automated evaluations and self-improvement loops.
- Represent Search Verticals & International (SVI) in cross-Search forums.
