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Senior Applied AI Security Researcher

United States, Redmond 119800.00 - 234700.00 USD / Year · Job Posted February 13, 2026
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Job Description

Microsoft Threat Protection Research is recruiting security professionals with experience and passion to apply AI techniques to protect customers. We are looking for a candidate to join the Microsoft Defender Experts research team to help us deliver Managed Security Services to our customers.

Job Responsibility

  • Leverage AI techniques and security operations experience to explore and correlate large data sets to uncover novel attack techniques and hunting in enterprise customer environments.
  • Partner with researchers and engineering teams, and Defender Experts analysts, to use AI to improve our service delivery outcomes.
  • Use advanced techniques and in-the-wild data to identify, prioritize, and target complex security issues that cause negative impact to customers.
  • Design and lead experiments in the use of AI to transform our managed services business.

Requirements

  • 4+ years experience in cybersecurity, software development lifecycle, large-scale computing, modeling, and/or anomaly detection
  • 4+ years of professional experience in investigating or researching cyber threats, understanding attacker methodology, tools, and infrastructure
  • Excellent communication skills and investigative practices.
  • Experience in security research, incident response and attacker tradecraft.
  • Experience applying generative AI to the information security domain.
  • Experience creating solutions with a variety of large language models, understanding differences between models and how to compare them.
  • Experience with hosted AI tools such as Azure Foundry, Azure OpenAI Service.
  • Experience working with extremely large data sets, using tools and scripting languages like Excel, KQL, SQL, Python, Splunk, and Power BI.
  • Experience working with detection methodologies across multiple platforms.
  • Ability to utilize attacker uptake and impact to prioritize security detection and remediation tasks.
  • Experience with endpoint, cloud, network, and identity-based attacks and datasets.
  • Comprehensive OS security/internals knowledge.
  • Understanding of network protocols and analytical experience with network infrastructure data & telemetry.
  • Reverse-engineering with static and behavioral binary analysis experience.
  • Functional understanding of common threat analysis models such as the Diamond Model, Cyber Kill Chain, and MITRE ATT&CK.

Nice to have

Programming or scripting background (Python, PowerShell, C, C++, etc.) is a plus.

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