Senior Staff ML Security Engineer – AI Safety at Cloud

Google; Seattle (WA); On-site; USD 262,000 - 364,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) with company match

Paid time off

Sick time

Maternity leave

Job summary

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 are seeking a Senior Staff Software Engineer for AI/ML Security to spearhead architectural strategy and secure LLMs against prompt injection, jailbreaking, and data exfiltration across enterprise environments.

You will drive scalable, observable distributed systems, mentor engineers, and partner with leadership to deliver

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 7 years of experience leading technical project strategy, ML design, and working with industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 5 years of experience with one or more: Speech/audio, reinforcement learning, ML infrastructure, or related ML field.
• 5 years of experience with design and architecture; and testing/launching software products.
• 5 years of experience in Cloud.

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, jailbreaking, and sensitive data leakage across enterprise environments.
• Act as a principal technical influencer to align security roadmaps across Google Cloud, DeepMind, 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.

Skills

Software development

Software architecture

Java programming

Cloud technologies

ML security concepts

prompt injection defenses

Education

Bachelor’s degree or equivalent practical experience

Master’s degree or PhD in Engineering/CS

Tools

AI model security tooling

Job description

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 are seeking a Senior Staff Software Engineer for AI/ML Security to spearhead architectural strategy and secure LLMs against prompt injection, jailbreaking, and data exfiltration across enterprise environments.

You will drive scalable, observable distributed systems, mentor engineers, and partner with leadership to deliver