Software Engineer III, AI/ML, YouTube Ads ML

Google’s software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another.

• Write product or system development code.
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
• Implement solutions in one or more specialized Machine Learning (ML) areas, utilize ML infrastructure, and contribute to model optimization and data processing.

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in Python and C++ programming languages, or 1 year of experience with an advanced degree.
• 1 year of experience with one or more of the following: reinforcement learning (e.g., sequential decision making), machine learning infrastructure, neural networks, recommender systems, or specialization in another machine learning field.
• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• Master’s degree or PhD in Computer Science, or a related technical field.
• 2 years of experience in training deep neural networks.
• Experience with Google Ads, digital platforms and online marketing best practices.
• Experience building and improving ranking or recommender product quality.
• Ability to work in a fast-paced, high visibility team in a cross-functional, collaborative environment that involves establishing mutually beneficial relationships with research and product teams.
• Excellent data analysis, problem-solving and quantitative reasoning skills in a mathematical field such as data science, optimization, machine learning, or natural science.

• 401k matching
• Health insurance
• Equity
• Bonus
• Stock options
• Paid time off
• Flexible work arrangements

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.