Staff Software Engineer, Machine Learning, Search

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.

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

• Lead the technical design and development of systems that can automatically transform Large Language Model (LLM) generated long answers into readable responses.
• Develop ways to use data about how people interact (e.g., clicks, scrolls, gaze, etc.) to help the LLM understand user needs and wants. Learn from open web to better present a concept.
• Work closely with designers to translate ideas about user experience into technical requirements for the AI system.
• Create working prototypes to test how it works and find the best ways to build it.
• Evaluate and integrate AI/ML techniques and frameworks to enhance the capabilities of AI Mode. Be an expert for technical questions about generative UI. Drive technical direction and best practices within the team, mentoring junior engineers and promoting a culture of innovation.