The Software Engineer for YouTube Ads Machine Learning Infrastructure at Google will focus on developing technologies that enhance YouTube Ads through machine learning. This role is part of a team dedicated to improving model quality, resource efficiency, and automation within the Ads ML infrastructure. The engineer will work on critical projects that impact billions of users and collaborate closely with teams like Google Research and DeepMind. The position requires versatility and a willingness to tackle new challenges in a fast-paced environment.

• Bachelor's degree or equivalent practical experience.
• 2 years of experience with C++ or more programming languages, or 1 year of experience with an advanced degree.
• 1 year of experience with speech/audio technology, reinforcement learning, ML infrastructure, or specialization in another ML field.
• 1 year of experience with ML infrastructure, including model deployment, evaluation, optimization, and data processing.

• Write product or system development code.
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices.
• Contribute to existing documentation or educational content and adapt it based on updates and user feedback.
• Triage product or system issues and debug by analyzing the sources of issues and their impact.
• Implement solutions in specialized ML areas and contribute to model optimization and data processing.

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