Staff AI/Gen, AI Security Researcher

Key Skills

Algorithms, Linux Operating system, Machine learning techniques, NumPy, Pandas, SQL, UI design

Job Description

Intuit is looking for a Staff Security Researcher to join a multi-disciplinary team focused on researching the security of AI & GenAI models and systems.

We are looking for innovative team players that love new challenges, cracking tough problems, and working cross-functionally.

We encourage you to apply if you…

• Are extremely passionate about exploring the field of Adversarial ML
• Are a seasoned security researcher that enjoys playing both red-team and blue-team, doing threat analysis, finding new attack vectors, and also suggesting and designing mitigation
• Have strong math and algorithms background
• Are a quick learner that thrives in uncharted technology territories
• Love to gain knowledge, share knowledge, and build knowledge

Qualifications

• MSc (with thesis) or PhD in Computer Science, Applied Math, or similar fields. Equivalent research experience may be acceptable with a proven research record.
• 4+ years of industry experience in cyber security research. Including 2+ years doing threat research and 2+ years security innovation (possibly overlapping)
• Strong background in math, statistics and algorithms. Significant Data Science experience will be an advantage
• Significant experience in research and innovation. Academic publications, conference talks and patented inventions will be an advantage.
• Abstract thinking
• Knowledge-sharing experience

Responsibilities

In this role, you will collaborate with data scientists and security researchers on defining the way Intuit secures AI models. More specifically, you will participate in:

• Researching AI models from a security perspective, to understand whether and which models are vulnerable to which attacks and why
• Exploring innovative ways to create robust AI models and to build robust AI systems. And also to find new attack vectors on AI models.
• Collecting and digesting literature and open-source software to build and maintain a Adversarial ML and Robust AI knowledge base and tool sets
• Sharing knowledge internally/externally on AI risks and Robust AI technology