Senior Staff Tech Lead, YouTube Shorts Discovery

The Workplace Services Projects Program consists of a large portfolio of facilities related projects across Google’s Bay Area region. Projects Include, but are not limited to, a mix of end of life infrastructure, agile building needs, sustainability initiatives and small scale Research and Development (R&D) labs for our Product Areas (PAs). The program focuses on delivering projects in occupied spaces with existing building operations being a key priority. As the Workplace Services Projects Program Lead, you will provide strategic direction and governance to the vendor service provider that partners with us on project management services. You will work in a highly matrix organization, build trust in difficult situations, get consensus from leaders with opinions, drive decision-making where trade-offs are required, and balance innovation with predictability. And most importantly operate with the velocity needed in the current Google environment. You will build effective strategic relationships within the REWS Team, with our vendor service providers, and within the business functions of Google. You will set expectations within the team, drive continuous improvement and accountability, and implement processes to achieve high-quality outcomes, value and efficiency, and end user satisfaction.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $157000 - $227000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google. 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 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 Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.

• 8 years of experience in software development.

• 7 years of experience leading technical project strategy, ML design, and working with industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

• 5 years of experience with design and architecture; and testing/launching software products.

• 5 years of experience building and deploying recommendation systems models (retrieval, prediction, ranking, embedding) in production and experience building architecture in different modeling domains.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.

• 8 years of industry experience working on Artificial Intelligence/Machine Learning (AI/ML) recommendations.

• 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.