Software Engineer III, Generative AI Safety, Core

Requirements

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in C++, Python or Java programming languages, or 1 year of experience with an advanced degree.
• 2 years of experience in data analysis in SQL or Python etc.
• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Nice to Have

• Master's degree or PhD in Computer Science, or a related technical field.
• 2 years of experience with data structures and algorithms.
• Experience with generative AI techniques (e.g., LLMs, multi-modal, large vision models) or generative AI-related concepts (language modeling, computer vision).

What You'll Be Doing

• Design, build, and maintain components of account-centric abuse detection systems on the generative AI safety platform.
• Develop and implement classification models and rules 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 like strikes and limited disables.
• Analyze data to understand abuse patterns and improve the effectiveness of detection methods.
• Write and test production quality code, and participate in code reviews.

Perks and Benefits

• Google's next-generation technologies that impact billions of users.
• Opportunities to switch teams and projects as you grow.
• Work on critical projects for Google's needs.
• Be part of the DeepMind Abuse Detection team pioneering account-centric detection technologies for innovative generative AI safety platform.
• Impact important technical decisions across the company as part of the Core team.