Member of Technical Staff, AI Red Team
Technology, Data & Digital · Data, AI & Analytics · Data Science · Artificial Intelligence · Machine Learning
In short
Microsoft's AI Red Team is seeking a Member of Technical Staff to conduct advanced research on adversarial AI-agent systems, particularly focusing on coordinated and swarm-like behaviors. This role involves building experimental environments to analyze agent campaigns and developing methods to counter offensive AI swarms.
Responsibilities
- Lead applied research on adversarial AI agents and coordinated multi-agent or swarm-like behavior.
- Characterize coordination patterns, behavioral signatures, provenance, and adaptation across agent populations.
- Build instrumented environments for observing and measuring agent coordination under controlled security scenarios.
- Develop and evaluate methods to detect, attribute, interrupt, and contain coordinated offensive agent swarms.
- Stress-test methods across changing models, tools, topologies, and operating conditions to identify evasion paths and failure modes.
- Produce reproducible evaluation assets and security guidance for red-team and defense partners.
Requirements
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience OR equivalent experience.
- Ability to meet Microsoft, customer and/or government security screening requirements.
Desired Qualifications
- Prior research or engineering experience in agentic AI security, including coordinated, multi-agent, or swarm-like behavior.
- Demonstrated record of independently leading complex research projects from problem formulation through reproducible results and partner adoption.
- Peer-reviewed publications, patents, or released research software in agentic AI security, adversarial machine learning, or threat detection.
- Prior experience designing instrumented security experiments or simulations for observing and evaluating coordinated agent behavior.
- Prior experience with behavioral analysis, provenance, detection, or attribution methods for AI systems or agents.
- Demonstrated research or engineering track record in AI security, adversarial machine learning, or cybersecurity.
- Demonstrated hands-on proficiency with Python and machine learning frameworks for research prototyping and experimentation.
Benefits
- 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
Skills
Pythonmachine learning
#AI#Security#Red Team#Research#Adversarial AI#Swarm Intelligence#Cybersecurity
About Microsoft
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Company
MicrosoftJob Posted
4 days ago
Employment Type
Full Time
Work mode
Remote
Salary
US$119,800–261,000 · Negotiable
Experience Level
Mid-Senior
Locations
United States
Qualification
Bachelor, Master, Doctoral
Applicants
Be an early applicant
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