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Senior Staff Software Engineer, AI/ML Security

Google
Kirkland, USA
Senior · 8+ years experience
Onsite
USD 262000-364000 / year
Discovered 1 weeks ago
java

Full Job Posting

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.

Minimum 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 of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
  • 5 years of experience with design and architecture; and testing/launching software products.

Preferred qualifications:

  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • 8 years of experience with data structures and algorithms.
  • 5 years of experience in a technical leadership role leading project teams and setting technical direction.
  • 5 years of programming experience in Java.
  • Experience with AI model security, adversarial machine learning, or data privacy (e.g., prompt injection defenses, LLM introspection).
  • Experience delivering enterprise-grade security products that achieve measurable, business and customer outcomes.

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