Senior AI/ML Tech Lead YouTube Shorts Discovery

Google; Mountain View (CA); On-site; USD 262,000 - 364,000; Full time

Job summary

Google is seeking a senior software engineer to lead AI/ML teams focused on YouTube Shorts discovery. You will guide large-scale model development, architecture, and ML infrastructure to boost viewer engagement and content quality.

Lead cross‑functional collaborations with engineering, data science, and research teams, mentor junior engineers, and drive strategic technical directions across multiple modeling domains.

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.
• 5 years of experience with design and architecture; and testing/launching software products.
• 5 years of experience building and deploying recommendation systems models in production.

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.

Skills

Software development

Technical leadership

ML design

System architecture

Model deployment

Education

Bachelor’s degree

Job description

Google is seeking a senior software engineer to lead AI/ML teams focused on YouTube Shorts discovery. You will guide large-scale model development, architecture, and ML infrastructure to boost viewer engagement and content quality.

Lead cross‑functional collaborations with engineering, data science, and research teams, mentor junior engineers, and drive strategic technical directions across multiple modeling domains.