Senior Staff Software Engineer, Google Product Studio

Work along-side a team of engineers to drive the design and development of content creative generative experiences, with expanding to more AI strategies in future.Apply the image/video/text models to generate content that SMBs need.Partner with cross-functional teams and research to help provide feedback and improve core model quality for foundational image/video/text models. Work with cross-functional partners such as UX/Product Managers/Program Managers/UX Researchers to define the direction and strategy for the area. Your work will impact 5 Million plus initial merchants, one of the largest merchant ecosystems in the world.Acquire and apply skills to build/leverage core ML infrastructure such as evaluations, model tuning, Responsible Artificial Intelligence (RAI) etc.Provide technical guidance/mentoring to the team to build reliable infrastructure.Minimum qualifications:Bachelor’s degree or equivalent practical experience.8 years of experience in software development.5 years of experience leading technical project strategy, AI/ML design, and working with industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine-tuning).5 years of experience in a technical leadership role.Preferred qualifications:Master’s degree or PhD in Engineering, Computer Science, or a related technical field.Experience with generative AI tools and models for creating media, including text, image, and video generation. Experience with model quality infrastructure, Direct experience with building evaluation datasets, designing evaluation techniques, and implementing automated or human-in-the-loop rating paradigms for generative AI models.Experience in model fine-tuning, quality hillclimbing, and advanced prompt engineering techniques to optimize generative outputs.Experience working with or designing AI agents to support creative content generation workflows.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.We’re building Creative Hub—a next-generation, AI-powered studio integrated directly into the new Business Home. Our mission is to democratize high-end marketing for Small and Medium Businesses (SMBs) by putting Google's multimodal AI (image, text, and video) directly to the local shop owners and restaurateurs.By transforming raw ideas into stunning, high-converting posts and content, we help neighborhood businesses captivate local customers, boost foot traffic, and level the playing field. In this role, you won't just build tools; you will shape how millions of shoppers discover and engage with their favorite local spots.We are looking for a senior level team lead to lead design and development of Content Creative Generational Experiences, the next version of Google Product Studio for Merchant Shopping Organization.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $262000 - $364000 (USD) + 25% bonus target + equity + benefitsLearn more about benefits at Google.Bachelor’s degree or equivalent practical experience.8 years of experience in software development.5 years of experience leading technical project strategy, AI/ML design, and working with industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine-tuning).5 years of experience in a technical leadership role.