Senior Software Engineer, AI​/ML

Senior Staff Software Engineer, AI/ML Security

Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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.

As a Senior Staff Software Engineer for AI/ML Security, you will serve as the primary technical visionary for Model Armor and Sensitive Data Protection, supporting the strategy to secure LLMs against prompt injection, jail breaking, and data exfiltration. You will manage architectural issues by integrating filter-based defenses into scalable, observable, and explainable distributed systems that protect enterprise customers at Google Cloud scale.

Beyond technical execution, you will navigate extreme ambiguity to drive overarching business strategy and lead high-stakes, cross-Google initiatives. You will have a master-level ability to negotiate and forge consensus among researchers and engineers, translating security goals into measurable, high-impact solutions for the generative AI era.

Responsibilities:

• Define and drive the long-term technical goal and architectural strategy for model armor and sensitive data protection, ensuring Google Cloud remains a leader in generative AI security.
• Lead the design and implementation of highly scalable, low-latency systems to detect and mitigate emerging threats such as prompt injection, jail breaking, and sensitive data leakage across enterprise environments.
• Act as a principal technical influencer to align security roadmaps across Google Cloud, Deep Mind, and other product areas, navigating constraints like latency, cost, and global compliance.
• Resolve technical disagreements among execute engineers and researchers, forging consensus to deliver on high-stakes, cross-functional objectives across multiple time zones.
• Partner with executive leadership to evaluate Machine Learning (ML) security research and provide technical mentorship to staff and executive engineers, elevating the organization's overall domain expertise.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits.

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.