Senior Software Engineer, GenAI, Expert Intelligence

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., * Build and maintain robust, scalable software systems and information retrieval infrastructure on top of Large Language Model (LLMs).

• Design, develop, and iterate on algorithms to retrieve high-value content, extract quality signals, and build evaluation models.
• Thrive in ambiguity and effectively navigate a fast-paced environment during the foundational stages of this new initiative.
• Collaborate closely with cross-functional teams, including engineers, product managers, and research teams across Google (e.g., NotebookLM, Play Books, Core Data, Search).
• Uphold high standards for code quality, system reliability, engineering best practices, and documentation.

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Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area., * Bachelor’s degree or equivalent practical experience.

• 5 years of experience with software development in Java and C++.
• 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).
• Experience in fields related to data quality, information retrieval, ranking, search infrastructure, search quality, content evaluation, or signal extraction.
• Experience with large-scale data analysis, data pipelines (e.g., Flume), and statistical methods., * Master’s degree or PhD in Computer Science or related technical field.
• 5 years of experience with data structures and algorithms.
• 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 developing accessible technologies.