Staff AI/ML Software Engineer, YouTube Ads Creative Foundations

Responsibilities

• Serve as the technical leader responsible for architecting, scaling, and steering the next-generation infrastructure that powers our AI/ML applications. You will operate at the intersection of Ads, YouTube, and GenAI research to build high-throughput systems that enable seamless creative generation and optimization.
• 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.
• - Serve as the technical leader responsible for architecting, scaling, and steering the next-generation infrastructure that powers our AI/ML applications. You will operate at the intersection of Ads, YouTube, and GenAI research to build high-throughput systems that enable seamless creative generation and optimization. - 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.

Minimum qualifications:

Preferred qualifications:

Qualifications

• Minimum 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. Preferred qualifications: - Master’s degree or PhD in Engineering, Computer Science, or a related technical field. - 8 years of experience with data structures and algorithms. - 3 years of experience in a technical leadership role leading project teams and setting technical direction. - 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects. - Proficiency in deep learning frameworks (e.g., TensorFlow, PyTorch) and cloud/distributed data technologies.