Security Research IC3

Technology, Data & Digital · IT Infrastructure & Security · Cybersecurity · Software Engineering · Data Science

In short

As a Security Researcher in Microsoft Security's FORGE Lab, you will combine offensive security research with frontier AI capabilities to discover, validate, and analyze vulnerabilities in software and cloud services. You will design and develop automation and AI-driven systems to accelerate vulnerability discovery and remediation, collaborating with engineering teams to improve security posture.

Responsibilities

  • Conduct cutting-edge security research to discover, validate, and analyze vulnerabilities across Microsoft products, cloud services, and strategic open-source ecosystems.
  • Design and develop scalable automation, AI-driven systems, and research tooling that accelerate vulnerability discovery, triage, and remediation workflows.
  • Collaborate closely with engineering, product, and security teams to drive vulnerability mitigation, improve security posture, and reduce customer risk.
  • Lead or contribute to offensive security assessments that identify emerging threat patterns, novel attack techniques, and systemic security weaknesses.
  • Publish high-quality technical findings, influence in open source projects or large-scale software systems.

Requirements

  • Master's Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 1+ year(s) 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 2+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection.
  • OR equivalent experience.
  • Ability to meet Microsoft, customer and/or government security screening requirements.
  • Microsoft Cloud Background Check required upon hire/transfer and every two years thereafter.

Desired Qualifications

  • 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.
  • Demonstrated experience in vulnerability research, vulnerability discovery, exploit development, reverse engineering, or offensive security research, including publicly disclosed CVEs or security advisories.
  • Participation in recognized security competitions or research programs, such as Capture The Flag (CTF), DARPA AI Cyber Challenge (AIxCC), Pwn2Own, or similar offensive security initiatives.

Benefits

  • The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 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 $133,800 - $219,200 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

vulnerability researchexploit developmentreverse engineeringAImachine learning
#security#vulnerability#AI#research#cloud
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About Microsoft

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Company

Microsoft

Job Posted

5 days ago

Employment Type

Full Time

Work mode

Hybrid

Salary

US$102,100–202,200 / year

Experience Level

Mid-Senior

Locations

United States

Qualification

Master, Bachelor, Doctoral

Applicants

Be an early applicant