Join YouTube Creator Support as a Senior Software Engineer, where you'll be instrumental in developing next-generation AI technologies. This role focuses on enhancing the creator experience through a sophisticated conversational AI chatbot, Ask Studio, powered by Large Language Models (LLMs). You will leverage cutting-edge AI and ML to provide tailored support and guidance to creators, understanding their channel context and recent activities.

At YouTube, we champion the power of shared stories and community building. We operate at the nexus of technology and creativity, moving with cultural momentum to connect people globally. This position offers the chance to solve real problems, explore innovative ideas, and contribute to a dynamic, fast-paced environment.

Key responsibilities include designing, building, testing, and deploying intelligent, scalable systems for YouTube Creator Support, utilizing AI and ML. You will collaborate effectively with cross-functional teams, including Engineering, Product Management, and Program Management, to deliver impactful solutions. Contribute to technical strategy and architecture by developing long-term roadmaps, identifying design patterns, and implementing high-performance frameworks.

Drive product and engineering innovations by identifying emerging needs within the creator ecosystem. Furthermore, you will mentor and support team members, fostering technical excellence through code reviews and guidance on engineering best practices.

The minimum qualifications for this role include a Bachelor's degree or equivalent practical experience, coupled with 5 years of software development experience in at least one programming language. You should also possess 3 years of experience in testing, maintaining, or launching software products, and 1 year dedicated to software design and architecture.

Preferred qualifications encompass a Master's degree or PhD in Computer Science or a related technical field, 5 years of experience with data structures and algorithms, and 1 year of experience in a technical leadership capacity. Experience in developing accessible technologies and building LLM-based systems is also highly valued.