Senior Software Engineer, ML Infrastructure, Google Ads

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. This role involves writing and testing system development code, collaborating on design reviews, contributing to documentation, triaging issues, and designing ML solutions. The position requires expertise in Python and ML infrastructure, with opportunities for mentorship and growth within Google Ads.

• Write and test 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.
• Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in software development with Python.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Benefits information not provided in this listing.

Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. Our teams create trusted experiences between people and businesses with useful ads, helping grow businesses of all sizes and enabling Google to engage with customers at scale.