Senior Software Engineer, AI​/ML, Ads Safety

Minimum Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 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).
• 3 years of professional experience leveraging Data Analytics, Statistics, Mathematics, Computer Science, Machine Learning, or a similar quantitative field.

• Master's degree or PhD in Computer Science or related technical field.
• 5 years of experience with data structures and algorithms.
• 1 year of experience in a technical leadership role.
• Experience with data analysis at scale, including statistics, and machine learning model development (data preparation, model selection, evaluation, tuning).

• 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 (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• 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.

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

Salary range (US): $174,000-$252,000 + bonus + equity + benefits. Individual pay is determined by location, role, level, and relevant experience.