Staff Software Engineer, Machine Learning, Search

You should have a Bachelor's degree or equivalent practical experience along with 8 years of experience in data structures and algorithms. Additionally, you should possess 5 years of experience in Generative AI techniques such as LLMs, Multi-Modal, Large Vision Models, or related concepts like language modeling and computer vision. It is crucial to have 5 years of experience in testing, launching software products, and leading Machine Learning (ML) design, optimizing ML infrastructure, and 3 years of experience in software design and architecture. Ideally, you should also hold a Master's degree or PhD in Engineering, Computer Science, or a related technical field, and have 8 years of software development experience. Moreover, having 3 years of experience in a technical leadership role, working in a matrixed organization, and leading project teams while setting technical direction would be preferred. As a software engineer at Google, you will be instrumental in developing cutting-edge technologies that impact billions of users globally. Your responsibilities will involve working on projects critical to Google's needs, collaborating with diverse teams, and solving complex engineering challenges. You will have the opportunity to contribute to Google Search by enhancing the user experience, expanding infrastructure, and ensuring information accessibility and usefulness on a global scale. Your role will entail leading the technical design and development of systems capable of automatically transforming Large Language Model (LLM) generated long answers into readable responses. You will need to devise strategies to leverage user interaction data to enhance the understanding of user needs by the LLM. Collaborating with designers, you will translate user experience ideas into technical requirements for the AI system and create prototypes for testing and optimization. Additionally, you will evaluate and integrate AI/ML techniques to enhance AI capabilities, provide technical expertise on generative UI, steer technical direction within the team, mentor junior engineers, and foster a culture of innovation.,