Staff Engineer, Search 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.

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.

Responsibilities:

• Be passionate about the Artificial Intelligence (AI) for personalization space and have prior knowledge working in this area and solve problems with increased levels of ambiguity. Have AI Fluency and be prepared to discuss your knowledge of AI tools in the hiring process.
• Lead the architectural evolution of personalization across Google Search.
• Work with Java, Kotlin, C++, Python (for model validation and Colabs).
• Work with Magi Response Server (MaRS), Superroot, QFlow, GWS plugins, Magit/Silfra Orchestration.
• Work on Gemini (e.g., 3.0 Pro, 3.0 Flash, V2S), Orbit/Nemo triggering classifiers, Sian (first-party (1P) integrations), Anima (Search activity), Footprints (privacy-safe, ephemeral storage), and online autoraters, EAS, SAIL, Sherlog.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another Machine Learning (ML) field.
• 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 5 years of experience testing, and launching software products.
• 3 years of experience with software design and architecture.
• Experience integrating generative AI tools or Large Language Model (LLM) interfaces into workflows.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures and algorithms.
• 5 years of experience testing, and launching software products. 3 years of experience with software design and architecture.
• Experience with building or leveraging agentic frameworks and Large Language Model (LLM)-powered automation to enhance investigative velocity. Experience with building classifiers, machine learning, AI, ranking, and research.