Company Description
It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.
Job Description

*PLEASE NOTE, THIS ROLE REQUIRES A MINIMUM OF 2 DAYS IN THE SANTA CLARA OFFICE*

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).

WHAT YOU GET TO DO IN THIS ROLE:

• Conduct security testing and vulnerability assessments for AI systems, particularly those utilizing large language models (LLMs).
• Develop and implement security benchmarks and evaluation protocols for LLMs.
• Identify and mitigate potential security threats and vulnerabilities in AI systems.
• Collaborate with AI developers to integrate security measures into the development lifecycle.
• Stay updated on the latest AI security trends and technologies.
• Provide detailed reports and recommendations based on security evaluations.
  Qualifications

IN ORDER TO BE SUCCESSFUL IN THIS ROLE, WE NEED SOMEONE WHO HAS:

• An analytical mind for problem solving, abstract thought, and offensive security tactics.
• 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.
• 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.
• 4+ years in a role performing AI/ML Security research and performing security evaluations during model training
• 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 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.