Staff Software Engineer, YouTube Data Science

Staff Software Engineer, YouTube Data Science corporate_fare YouTube place San Bruno, CA, USA bar_chart Advanced Advanced Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

Minimum qualifications:

Bachelor's degree or equivalent practical experience. 8 years of experience programming in Python and SQL. 5 years of experience testing, and launching software products. 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/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 in one or more of the following skills: Logging, Data Analytics, Technical Infrastructure, Big Data, Pipeline Management, Generative AI Agent, coLaboratory. 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. The YouTube Data Science (YTDS) team influences and informs YouTube's product and engineering leadership to improve decisions with science. In this role, you will take initiative to develop projects and collaborate horizontally across YouTube, working with feature teams and stakeholders. You will use tools (e.g., Gemini) to support data-driven initiatives. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about . Responsibilities Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Manage project priorities, deadlines, and deliverables on high-impact projects. Design, develop, test, deploy, maintain, and enhance large-scale software solutions. Provide engineering skills to support Data Science projects. Work with the YTDS team and our stakeholders to unblock our data engineering needs, ensuring that the data powering our analysis meets requirements.