Staff AI/ML Software Engineer, YouTube Ads Foundations

Google; Mountain View (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google is seeking a Staff AI/ML Software Engineer for YouTube Ads Creative Foundations in Mountain View, CA. You will own the architecture of AI/ML infrastructure, drive scalable data pipelines, and lead high-impact projects across Ads, YouTube, and GenAI research.

You will partner with product, research, and leadership to align technology with business goals, mentor engineers, and deliver high-throughput systems for creative generation and optimization.

Qualifications

• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing, and launching software products.
• 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
• 3 years of experience with software design and architecture.
• Experience designing or deploying machine learning (ML) infrastructure or platforms.

Responsibilities

• Serve as the technical leader responsible for architecting, scaling, and steering the next-generation infrastructure that powers our AI/ML applications.
• Define the technical roadmap and architect scalable foundational infrastructure, including creative data engines, generation and rendering pipelines, and agentic orchestration frameworks.
• Design and optimize distributed systems to manage complex GenAI and heavy media-processing workloads efficiently.
• Build and mature experiment and learning infrastructure to accelerate model training, evaluation, and rapid deployment.
• Partner with Product Management, Research, and executive leadership to align infrastructure capabilities with long-term business goals. Guide, mentor, and elevate executive and junior engineers on the team, fostering a culture of technical excellence and execution.

Skills

AI/ML infrastructure

Distributed systems

Leadership

Stakeholder influence

Problem solving

Education

Bachelor’s degree in Computer Science or related field

Master’s degree or PhD in Engineering/CS

Job description

Google is seeking a Staff AI/ML Software Engineer for YouTube Ads Creative Foundations in Mountain View, CA. You will own the architecture of AI/ML infrastructure, drive scalable data pipelines, and lead high-impact projects across Ads, YouTube, and GenAI research.

You will partner with product, research, and leadership to align technology with business goals, mentor engineers, and deliver high-throughput systems for creative generation and optimization.