Senior Staff Tech Lead, YouTube Shorts Discovery

About the role

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.

Responsibilities

• Define technical strategy for enhancing YouTube Shorts discovery models and systems to accelerate viewer and creator growth while improving user satisfaction.
• Provide technical leadership on high-impact projects; design, develop, test, and deploy large-scale recommendation models, novel model architectures, and optimize ML infrastructure to drive the growth of the Shorts ecosystem.
• Partner with engineering, product, data-science, and research teams to convert business goals into scalable technical solutions that grow the Shorts ecosystem.
• Facilitate alignment and clarity across teams on goals, prioritization, outcomes, and timelines. Mentor and influence to uplevel junior engineers on the team.

Qualifications

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field (preferred).
• 8 years of industry experience working on Artificial Intelligence/Machine Learning (AI/ML) recommendations (preferred).
• 8 years of industry experience in the recommendations technology domain.
• 5 years of experience in a technical leadership role leading project teams and setting technical direction.
• 5 years of experience with one or more of the following: large-scale recommendation or search systems, reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field (preferred).

Pay

US: $262000 - $365000 (USD) + 25% bonus target + equity + benefits