Software Engineer II, GenAI Safety, Google Core

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

Develop, test, and maintain components of our account-centric abuse detection systems on the GenAI Safety Platform, with guidance from executive team members. Implement and refine classification models and rules to identify policy-violating and abusive behavior, leveraging account-level signals. Write and test production-quality code, participating in code reviews, and incorporating feedback. Collaborate with other engineers to integrate detection systems with enforcement mechanisms. Analyze data to help understand abuse patterns and contribute to the effectiveness of our detection methods.

Minimum qualifications: Bachelor’s degree or equivalent practical experience. 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). 1 year of experience with full stack development, across back-end such as Java, Python, GO, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent. 1 year of experience with data structures and algorithms. Preferred qualifications: Experience with data processing tools (e.g. SQL). Familiarity with machine learning concepts. Knowledge of AI driven development. Ability to learn and contribute to building systems at scale. Interest in anti-abuse systems, fraud detection, or security.