Senior Security Researcher

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world.

Are you a red teamer who is looking to break into the AI field? Do you want to find AI failures in Microsoft’s largest AI systems impacting millions of users? Join Microsoft’s AI Red Team where you'll emulate work alongside security experts to cause trust and safety failures in Microsoft’s big AI systems.

We are looking for a Senior Security Researcher with cybersecurity experience for our team to help make AI security better and help our customers expand with our AI systems. Our team is an interdisciplinary group of red teamers, adversarial Machine Learning (ML) researchers, Safety & Responsible AI experts and software developers with the mission of proactively finding failures in Microsoft’s big bet AI systems. In this role, you will red team AI models and applications across Microsoft’s AI portfolio including Bing Copilot, Security Copilot, Github Copilot, Office Copilot and Windows Copilot. This work is sprint based, working with AI Safety and Product Development teams, to run operations that aim to find safety and security risks that inform internal key business decisions. We are open to remote work. More about our approach to AI Red Teaming: https://www.microsoft.com/en-us/security/blog/2023/08/07/microsoft-ai-red-team-building-future-of-safer-ai/.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

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 Culture and Values 

Qualifications

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) relat