Software Engineer III, GenAI Safety

Das ist der Job

Experience in Machine Learning or Artificial Intelligence.

Darum lohnt es sich

As a Software Engineer on the DeepMind Abuse team, you will be at the forefront of protecting Google DeepMind’s generative AI products from misuse.

The team works at the intersection of generative AI and abuse fighting to shape the safety and trustworthiness of groundbreaking AI products used by millions, develop innovative solutions to novel abuse vectors, and contribute to a safer online environment and responsible AI use.

Qualifications Bachelor's degree in Computer Science or related technical field, or equivalent practical experience. 2 years of experience with software development in one or more programming languages (Python, C++, Go or Java), or 1 year of experience in an advanced degree program with an industry setting.

Preferred Qualifications Experience with large‑scale data processing pipelines and tools (e.g., Flume, SQL). Experience with anti‑abuse systems, fraud detection, or security. Experience with AI‑driven development and Agentic workflows.

About the Job 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 are 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.

You will design, build, and scale account‑centric detection systems within the GenAI Safety Platform, ensuring a safe experience for millions of users while enabling the full potential of our AI models. Key Responsibilities Design, build, and maintain components of our account‑centric abuse detection systems on the GenAI Safety Platform.

Develop and implement classifiers to identify policy‑violation and abusive behavior in near real‑time, leveraging account‑level signals. Collaborate with other engineers to integrate detection systems with enforcement mechanisms such as strikes and limited disabilities.

Analyze data to understand abuse patterns and improve the effectiveness of our detection methods. Write and test production‑quality code, and participate in code reviews. Google is proud to be an equal opportunity and affirmative action employer.

We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law.

See also Google’s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc.. Alphabet Inc. is your sole contractual partner with respect to equity grants.

GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right. #J-18808-Ljbffr