Microsoft Senior Security Researcher 

United States, Washington 

381612028

Required/Minimum Qualifications

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ 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 3+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate 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 equivalent experience.

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• 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, but basic familiarity with AI or willingness to learn is desired

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:Microsoft will accept applications for the role until January 10, 2025.

Responsibilities:

• Discover and exploit GenAI vulnerabilities end-to-end in order to assess the safety of systems
• 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, other AI Safety & Security ecosystem leads, and business decision makers
• Develop methodologies and techniques to scale and accelerate AI Red Teaming
• Collaborate with teams to influence measurement and mitigations of these vulnerabilities in AI systems
• Research new and emerging threats to inform the organization
• Work alongside traditional offensive security engineers, adversarial ML experts, developers to land responsible AI operations
• Embody our and