ServiceNow-posted 4 months ago
$197,800 - $346,200/Yr
Full-time • Senior
Kirkland, WA
Professional, Scientific, and Technical Services

As a Senior Staff AI/ML Product Security Engineer, you'll be responsible for helping secure ServiceNow's leading edge generative AI product capabilities. You will work with internal AI/ML development teams to perform security reviews of AI Systems throughout the MLOps lifecycle. In this role you'll be responsible for identifying vulnerabilities, assisting with remediation planning and providing development security support. A key part of this position is understanding, discovering and documenting vulnerabilities in proprietary AI/ML systems which use technologies such as large language models (LLMs).

  • Work with other AI Security experts to perform AI Red Teaming assessments that identify and reduce product risks
  • Conduct security testing and vulnerability assessments for AI systems, particularly those utilizing large language models (LLMs)
  • Collaborate with AI developers to integrate security measures into products and within the development lifecycle
  • Stay updated on the latest AI security trends and technologies
  • Explore tactics, techniques and procedures (TTP) utilized by attacks with a focus of exploring on non-deterministic behaviors
  • Provide detailed reports and recommendations based on security evaluations
  • Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving
  • Strong interpersonal skills (written and oral communication) and the ability to work collaboratively in a team environment
  • Ability to articulate complex issues to executives and customers
  • 12+ years of experience as a Product Security Engineer or related experience
  • 4+ years in a role performing AI/ML security assessment working for an AI Security consultancy or as a product security engineer
  • An analytical mind for problem solving, abstract thought, and offensive security tactics
  • Post graduate degree and/or related certifications in Machine Learning or Artificial Intelligence; PhD or masters in AI/ML preferred
  • Strong understanding of probability theory, linear algebra and calculus
  • Knowledge of current academic work in Adversarial attacks of LLMs
  • In-depth experience with exploiting OWASP LLM Top 10 application vulnerabilities, such as prompt injection and data poisoning
  • Experience with Agentic security frameworks preferred
  • Experience training machine learning models including transformer based LLMs
  • Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch) and comprehension of Python code
  • Strong understanding of Natural Language Processing (NLP) and related frameworks (e.g. nltk, spacy)
  • Knowledge of regulatory and compliance standards related to AI and data security
  • Base pay of $197,800 to $346,200, plus equity (when applicable), variable/incentive compensation and benefits
  • Health plans, including flexible spending accounts
  • 401(k) Plan with company match
  • Employee Stock Purchase Plan (ESPP)
  • Matching donations
  • Flexible time away plan
  • Family leave programs
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