Staff Software Engineer, AI/ML

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.At Corp Eng, we build world-leading business solutions that scale a more helpful Google for everyone. As Google s IT organization, we provide end-to-end solutions for organizations across Google. We deliver the right tools, platforms, and experiences for all Googlers as they create more helpful products and services for everyone. In the simplest terms, we are Google for Googlers.

Responsibilities

• Participate in and lead architecture and engineering designs with peers and stakeholders, and exercise technical judgment. Experience building products based around AI models.
• Understand Agentic experience/AIML, LLM and have excellent coding skills, communication skills, and a passion for mentoring junior engineers.
• Review code, design docs, unblock team members and provide feedback to ensure standard practices are followed.
• Define the technical direction, lead and land the development of AI-first experiences for Googlers.
• Balance the need to deliver short term prototypes with the long-term strategy for generalizing them into AI-first experiences. Work cross-team and cross-product area to survey existing issues, and propose solutions and improvements.