About the role

Discover and exploit GenAI security vulnerabilities end-to-end in order to assess AI systems and models Manage product group stakeholders as priority recipients and collaborators for operational sprints Drive clarity on communication and reporting for red teaming peers when working with product groups Develop methodologies and techniques to scale and accelerate AI Red Teaming in new and emerging threat areas Work alongside traditional offensive security engineers, adversarial ML experts, developers to land responsible AI operations Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience. Doctorate in Statistics, Mathematics, Computer Science, Computer Security, or related field OR Master's Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 3+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection OR Bachelor's Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 5+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection OR equivalent experience. Penetration testing

qualifications; GPEN/GXPN, GWAPT, OSCP/OSCE, CRT/CCT/CCSAS Participation in bug bounties/CTFs Experience of using common penetration testing tools; Kali Linux, Burpsuite, Nmap, Nessus, etc Familiarity with one or more programming languages from: Python, C#, C/C++, PowerShell Prior knowledge of Generative AI not required, though experience testing agents is preferred, while basic familiarity with AI or willingness to learn is desired

Yammer is an enterprise social network established to foster team collaboration, empower employees, and drive business transformation. It enables employees to collaborate in real time across departments, geographies, and business applications. It also helps them create groups to collaborate on projects and share and edit documents.

The service of yammer.com can be accessed through the web, desktop, and mobile devices including iPhone, iPad, Windows Phone, Android, and Blackberry, enabling a “virtual office” that employees can plug into while on-the-go. Additionally, Yammer can be easily integrated with other systems such as Microsoft SharePoint, creating a social layer across all enterprise applications.

Yammer has secured more than 7 million users, including employees from 85 percent of the Fortune 500 companies. Founded in 2008, Yammer is now a part of Microsoft.

Security Researcher

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