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Discover and exploit security vulnerabilities in generative AI systems to assess cyber and national security risks. Collaborate with product groups and interdisciplinary teams to develop methodologies for scaling AI red teaming operations.
Are you a red teamer or cyber national security expert who is looking to break into the AI field? Do you want to find AI failures in Microsoft’s largest AI systems and models impacting millions of users? Join Microsoft’s AI Red Team where you'll emulate work alongside security experts to test for security and safety failures.
We are looking for a Member of Technical Staff (Senior Security Researcher) with demonstrated, national security, Chinese AI model, cybersecurity and agents testing experience for our team. Our mission is to innovate cutting edge AI testing techniques while stress testing the highest risk AI models, products, and systems. We help our customers, AI makers, expand and strengthen AI security defenses by red teaming prior to launch, coaching developers on how to mitigate when we find in testing environments to make AI safer for all.
This work is sprint based, working with AI Safety, Security, and Product Development teams, to run testing operations that aim to find safety and security risks in novel, pre-ship AI that inform internal key business decisions. In this role, you will red team AI frontier and foundational models plus applications across Microsoft’s AI portfolio including Bing Copilot, Security Copilot, Github Copilot, Office Copilot and Windows Copilot.
Our team is an interdisciplinary group of red teamers, adversarial Machine Learning (ML) researchers, Safety & Responsible AI experts, and software developers. Our red teaming scope is high visibility, with customers ranging from the Office of the CTO and CISO to lead AI model builders. We look for creative problem solvers, customer-obsessed coaches, high adaptability, task oriented applied researchers, who like to explore AI question with hands on experimentation. 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. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
Required Qualifications:
Preferred Qualifications:
Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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