Staff Software Engineer, AI/ML, Consumer Shopping Quality

Provide technical leadership on high-impact projects.Influence and coach a distributed team of engineers.Facilitate alignment and clarity across teams on goals, outcomes, and timelines.Manage project priorities, deadlines, and deliverables.Design, develop, test, deploy, maintain, and enhance large-scale software solutions.Minimum qualifications:Bachelor's degree or equivalent practical experience.8 years of experience in software development.5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).2 years of experience with GenAI techniques (e.g., LLMs, multi-modal, large vision models) or with GenAI-related concepts (e.g., language modeling, computer vision).Preferred qualifications:Experience defining long-term technical goal and establishing strategic roadmaps for ambiguous problem spaces.Proven experience solving open-ended, complex quality problems, identifying systemic gaps, and driving rigorous root-cause analysis to resolve them.Expertise in designing robust system architecture and AI/ML-powered solutions.Strong leadership skills to drive cross-functional alignment across product, engineering, and partner organizations.Strong mentoring skills and the ability to move quickly in fast-paced environments.Passion for building high-quality, user-facing AI features.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.People shop on Google more than a billion times a day - and the Commerce team is responsible for building the experiences that serve these users. The mission for Google Commerce is to be an essential part of the shopping journey for consumers - from inspiration to to a simple and secure checkout experience - and the best place for retailers/merchants to connect with consumers. We support and partner with the commerce ecosystem, from large retailers to small local merchants, to give them the tools, technology and scale to thrive in today’s digital world.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $207000 - $300000 (USD) + 20% bonus target + equity + benefitsLearn more about benefits at Google.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Pittsburgh, PA, USA; Mountain View, CA, USA.Bachelor's degree or equivalent practical experience.8 years of experience in software development.5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).2 years of experience with GenAI techniques (e.g., LLMs, multi-modal, large vision models) or with GenAI-related concepts (e.g., language modeling, computer vision).