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.

• 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).
• Master's degree or PhD in Computer Science or related technical field.
• 5 years of experience with data structures or algorithms.
• 2 years of experience with software development in C++ programming language, or 1 year of experience with an advanced degree.

• 401k matching
• Health insurance
• Equity
• Bonus
• Stock options
• Paid time off
• Flexible work arrangements
• Professional development opportunities
• Wellness programs
• On-site fitness center
• On-site cafeteria

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.