Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.
Job Overview
Intuit is seeking a Staff-level Senior Researcher to join AI Adversarial Robustness Research (A2RS), a multidisciplinary team focused on securing AI and GenAI models and systems. Were looking for innovative team players who love new challenges, enjoy cracking tough problems, and thrive in cross-functional environments.
In this role, you will partner with data scientists and security researchers to define how Intuit secures AI applications.
Responsibilities
Research AI and GenAI systems from a security perspective to understand when and how they are vulnerable to a variety of threats
Blue team: Explore innovative ways to enhance the security of AI systems
Red team: Analyze the attack surface of state-of-the-art AI technologies
Center of Excellence: Collect and synthesize research literature and open-source tools to build and maintain a robust knowledge base for adversarial robustness of AI systems
Distill and share AI security knowledge within Intuit and externally through seminars, blogs, papers, and conference talks
Requirements: We encourage you to apply if you
Are passionate about exploring the field of AI security
Are a seasoned security researcher who enjoys both red team and blue team work: performing threat analysis, discovering new attack vectors, and designing mitigations
Have a strong AI background (well beyond prompt engineering) and a passion for math and algorithms
Learn quickly and thrive in uncharted technical territories
Love to gain, share, and build knowledge
Qualifications
MSc (with thesis) or PhD in Computer Science, Applied Mathematics, or a related field; equivalent research experience considered with a proven record
6+ years of industry experience in cybersecurity research, including 3+ years in threat research, and 3+ years in security innovation (may overlap)
Strong background in data science and prompt engineering experience in AI security or AI research
Significant experience in research and innovation, including rapid prototyping, publications, conference talks, or patents
Strong abstract-thinking and problem-solving skill
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