 
                                                
                                            The AI Product Expansion (AIPEX) team charter is to leverage advances in AI to build new products, features and capabilities in collaboration with Google Product Areas and Research teams. In the past year, we've had a number of notable launches:
Agentic AIM: Bringing agentic capabilities to AI Mode in Search
Illuminate: Transforming content into engaging AI-generated audio discussions
AI Overviews bringing LLM capabilities to search
Ask Photos
Gmail Help Me Write and personalization
Chrome Help me Write
We're just getting and have many more projects in the pipeline. Come join us as we work to help shape and advance our most ambitious technology innovations to improve society for the better.
Our team's mission (AI PEX) is to leverage advances in AI to build new products, features and capabilities in collaboration with Google Product Areas and Research teams.
We are a scrappy and small startup-like team within Google. We aim to take products from Zero to One (and beyond). We are led by technologists and founders with a track record of creating other products used by billions, founding companies, and building large organizations. While we are focused on building new products, we also have a deep understanding of technology and ML and hope you are as excited about this technology as we are.
We are looking for engineers who bring fresh ideas in information retrieval, artificial intelligence, and natural language processing. Ideally you also care about UX and product. You are comfortable with uncertainty and are excited to build new backend systems from scratch quickly. You will help set engineering standards and processes, resourcing, deployment, testing, essentially everything on this new project.
We are trying to take some of the state of the art advances in AI research image generation, and bring them to various products, and will be iterating on pushing the boundaries of the underlying AI research to meet product needs, in collaboration with AI researchers. Looking for someone with experience iterating ideas and executing on full SDLC.
Key responsibilities: (maximum of 10, minimum of 5)
In order to set you up for success as a Software Engineer at Google DeepMind, we look for the following skills and experience:
In addition, the following would be an advantage: