Staff Software Engineer, Online-to-Offline, Ads

Job Description Minimum qualifications: - Bachelor's degree or equivalent practical experience. - 8 years of experience in software development. - 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). - 5 years of experience testing, and launching software products. - 3 years of experience with software design and architecture. - 2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision). Preferred qualifications: - Master's degree or PhD in Engineering, Computer Science, or a related technical field. - 8 years of experience with data structures/algorithms. - 3 years of experience in a technical leadership role leading project teams and setting technical direction. - 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects. - Experience with statistical modeling, Machine Learning (ML), TensorFlow Extended (tfx). - Experience with advertising products, quality work in Ads or search, with the ability to work across teams/organisation and straight through multiple pieces of infra. 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. Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We're made up of multiple teams, building Google's Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale. Responsibilities - Design, develop, test, deploy, maintain, and enhance large-scale software solutions. - Help define the direction and roadmap for the team. Provide technical leadership on high-impact projects. Manage project priorities, deadlines, and deliverables. - Develop state of the art privacy safe and secure computational paradigm to solve challenging problems. - Build models to predict Ad conversions using data from various sources in a privacy safe way. - Manage priorities between short-term efforts (sometimes CYs) and long-term modeling. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .