Staff Software Engineer, AI-powered Retail Ad, Content and Creative Automation

Design, implement and launch new shopping ad formats and system optimizations to help users in their shopping journey.Design, develop and tune LLM-based content generation, prompt optimization and evaluation for products.Run and analyze experiments to ensure that the new shopping ad formats help users, advertisers and Google.Lead the strategy and roadmap for the next gen of Shopping Ads Formats. Guide junior engineers and provide technical leadership.Collaborate with cross-team partners within Ads as well Cross-Product Area on designs and launches. Build a strong collaboration with cross-functional (PM/UX/TPM) stakeholders and other TLs/UTLs and positively influence products and projects.Minimum qualifications:Bachelor’s degree or equivalent practical experience.8 years of experience programming in Python or C++.5 years of experience testing, and launching software products.5 years of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).3 years of experience with software design and architecture.Preferred qualifications:Master’s degree or PhD in Engineering, Computer Science, or a related technical field.8 years of experience with data structures and algorithms.3 years of experience working in an organization involving cross-functional, or cross-business projects.3 years of experience in a technical leadership role leading project teams and setting technical direction.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.With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. 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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $207000 - $301000 (USD) + 20% bonus target + equity + benefitsLearn more about benefits at Google.Bachelor’s degree or equivalent practical experience.8 years of experience programming in Python or C++.5 years of experience testing, and launching software products.5 years of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).3 years of experience with software design and architecture.