Senior Software Engineer, Search AI Rater Quality

Job description

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. 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.