Minimum qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 1 year 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. 1 year of experience with Machine Learning (ML) infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Preferred qualifications: Experience in B2C or e-commerce software. Experience in debugging and resolving system issues, and addressing technical debt. Experience building scalable test automation frameworks for complex, AI systems. Experience in C++ and Python. Deep understanding of ML/LLM systems. Strong analytical skills to interpret quality metrics, identify regression patterns, and drive data-informed modeling decisions. 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. In YouTube Shopping Creator, we leverage advanced infrastructure to empower creators in producing high-quality, shopping-enabled content. A key business priority is expanding the creator and shopping content and driving active engagement with shopping features. Our mission is to enable creators to launch and scale their Shopping journey through seamless activation, intelligent matchmaking, and data-driven inspiration. As a team, we drive growth by owning the Activation and Inspiration Critical User Journey's. Beyond onboarding, we create and leverage Creator Profiles and AI/ML predictive modeling to provide actionable insights, helping creators discover the best merchants, lucrative offers, and relevant products for their audience. At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together. Responsibilities Lead the design and development of innovative ML/AI-driven models and features. Architect and build systems that deeply integrate LLMs and other AI technologies to provide intelligent recommendations. Drive integrations across multiple product partners, lead by strong collaborations and partnerships. Collaborate closely with Product Managers, UX Designers, Data Scientists, and other engineering teams to define and deliver the roadmap for ML/AI capabilities. Foster a collaborative environment.