The Staff Software Engineer for YouTube Ads Machine Learning at Google will focus on developing and enhancing large-scale software solutions that leverage machine learning. This role involves providing technical leadership on high-impact projects and influencing a distributed team of engineers. The engineer will work on critical projects that impact Google's advertising products, ensuring they meet the needs of users and businesses alike. The position requires a blend of technical expertise and leadership skills to drive innovation in machine learning applications.

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing and launching software products.
• 3 years of experience with software design and architecture.
• 5 years of experience with ML design and ML infrastructure.
• 5 years of experience building and deploying recommendation system models.

• Design, develop, test, deploy, maintain, and enhance large scale software solutions.
• Provide technical leadership on high-impact projects.
• Manage project priorities, deadlines, and deliverables.
• Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
• Lead the design and implementation of solutions in specialized ML areas.
• Optimize ML infrastructure and guide the development of model optimization and data processing strategies.
• Influence and coach a distributed team of engineers.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.