Software Engineer III, Generative AI Safety

Google; Zürich; Vor Ort; CHF 120.000 - 180.000; Vollzeit

Zusammenfassung

Google is seeking software engineers to help build and maintain abuse detection systems within the GenAI Safety Platform, collaborating with DeepMind and Core User Protection. You will work on scalable components and contribute to production-quality code.

The role emphasizes understanding abuse patterns, translating requirements into technical solutions, and collaborating with Trust and Safety and Product teams to ensure secure, reliable systems.

Qualifikationen

• Bachelor’s degree or equivalent practical experience.
• 2 years of software development experience in one or more programming languages.
• Experience with GenAI techniques or related concepts.
• Familiarity with data structures and algorithms.

Aufgaben

• Contribute to the development of systems that detect and prevent abuse across DeepMind products.
• Design, build, and maintain components of account-centric abuse detection systems.
• Analyze data to understand abuse patterns and improve detection methods with production-quality code.
• Collaborate with partner teams to translate requirements into technical solutions.

Kenntnisse

Software development

GenAI techniques

Data structures & algorithms

Programming languages

Ausbildung

Bachelor's degree or equivalent

Master's degree or PhD (preferred)

Tools

SQL

Flume

Jobbeschreibung

In most instances, this position requires in-person interviews as part of the hiring process.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
• 2 years of experience with software development in one or more programming languages (e.g., Python, C++, Java, Go).
• Experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (e.g., language modeling, computer vision).
• Experience with data structures and algorithms.

Preferred qualifications:

• Master's degree or PhD in Computer Science or a related technical field.
• Experience with AI development, agentic workflows, and applying machine learning concepts to real-world applications.
• Hands-on experience building anti-abuse systems, fraud detection mechanisms, or security solutions, with a solid understanding of account security and identity concepts.
• Proven track record of designing, building, and deploying large-scale systems and high-throughput data processing pipelines using tools such as SQL or Flume.
• Excellent problem-solving and investigative skills.

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'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 DeepMind Abuse Detection team, a key part of Core User Protection, works in close collaboration with DeepMind to pioneer account-centric detection technologies for the innovative Generative AI Safety Platform. As DeepMind rapidly expands its Generative AI offerings, our team was formed to address the critical need for dedicated defenses against product misuse, shifting from reactive measures to proactive, actor-focused prevention. Our mission is to ensure a friction-free experience for benign users, provide guidance for those who are confused, and implement proportionate actions for malicious actors. To achieve this, we leverage detection mechanisms including Large Language Model (LLM) raters, clustering techniques, transformer-based models, and account intelligence signals.

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.

Responsibilities

• Contribute to the development and implementation of systems that detect and prevent abuse across DeepMind products.
• Design, build, and maintain components of our account-centric abuse detection systems on the GenAI Safety Platform.
• Analyze data to understand abuse patterns and improve the effectiveness of our detection methods and writing and testing production-quality code, and participating in code reviews.
• Work with partner teams (e.g., Trust and Safety, Product Managers) to understand requirements and translate them into technical solutions.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .