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.
Microsoft Threat Protection Research is dedicated to protecting customers from an ever-changing threat landscape by combining deep security expertise with cutting-edge AI innovation. Our mission is to empower organizations to stay ahead of adversaries through intelligent, proactive, and scalable security solutions.
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.

REQUIRED QUALIFICATIONS

• Master’s Degree in Statistics, Mathematics, Computer Science or related field OR 5+ years experience in software development lifecycle, large-scale computing, modeling, cybersecurity, and/or anomaly detection.
• 3+ years of experience with common threat analysis models (MITRE ATT&CK, Cyber Kill Chain, Diamond Model) and operationalizing detections at scale.
• 3+ years of experience applying AI/ML techniques to security scenarios, including large language models and hosted AI platforms (Azure AI Foundry, Azure OpenAI Service).

OTHER REQUIREMENTS

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

• Doctorate in Statistics, Mathematics, Computer Science or related field OR 6+ years experience in software development lifecycle, large-scale computing, modeling, cybersecurity, and/or anomaly detection
• Experience with PySpark is highly desired but not necessary
  Security Research 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 $158,400 - $258,000 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
  Microsoft will accept applications for the role until September 6,2025
  

  MSFTSecurity #MSFTSecurity

Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations

• Apply advanced ML/AI techniques including anomaly detection on large scale security datasets to build high efficacy detections to protect the Azure 1P infrastructure. -
• Lead hypothesis-driven threat research by designing AI-assisted detection authoring playbooks that correlate low fidelity events and generate detection logic.
• Design and execute experiments that transform managed security operations, define measurable success criteria, and scale proven approaches into production workflows.
• Collaborate with cross-functional teams—including security researchers, applied scientists and Software Engineers to translate research into actionable detections, automation, and investigation tools that enhance security posture for Azure infrastructure.
• Operationalize ML/AI models at scale by building robust data pipelines, implementing labeling strategies, and ensuring model monitoring for fairness, drift, and performance in live environments.
• Communicate research impact effectively through clear documentation, prototypes, and presentations.
• Stay ahead of the evolving threat landscape by tracking attacker tradecraft, validating new AI techniques, and converting insights into proactive detections and mitigations that reduce environment risk.
  Embody our culture and values