Software Engineer, Generative AI, Google Workspace

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.

The team’s mission is to differentiate the Google Docs editor and connect our users through powerful and simple tools for collaboration and productivity. Our 2026+ strategy is to build new ways of collaborating within Docs and across Workspace powered by Generative Artificial Intelligence (Gen AI). We will continue to work on ways to help users more efficiently write beautiful, productive, and personalized documents using assistive technologies. This is a great opportunity to not only work across Workspace, but build the next generation of productivity tools for all our users!Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

المسؤوليات

• Write product or system development code. 
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Implement GenAI solutions, utilize Machine Learning (ML) infrastructure, and contribute to data preparation, optimization, and performance enhancements.
• Conduct evaluations and assessments for Generative AI models to build high quality AI features in Docs and Editors.