Experience in applying LLMs to solve real product problems.

Experience with software development in one or more programming languages (e.g., Python, C, C++, Java).

Experience in data management and working with data science teams.

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.

As a Software Engineer, you will help us build the next generation of our knowledge data platform which enables the multitude of Search features (both vertical and horizontal focused features) and also provides foundational data services for Generative AI features like Search AI overviews.

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

• Solve challenging problems at the cutting edge of GenAI, focused on building knowledge data services.
  
• Develop scalable infrastructure to enable rapid growth of knowledge content.
  
• Collaborate in a fast-paced environment with teams across the search to understandtheir requirements and quickly iterate on platform solutions to support vertical use cases.
  
• Partner with search content platform (SCP) leads and data scientists analyzing headroom and impact across search stack.