Principal Security Researcher at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

17 Feb, 26

Salary

0.0

Posted On

19 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Cybersecurity, Threat Hunting, Reverse Engineering, Machine Learning, Automation Systems, Incident Management, Root-Cause Analysis, OS Internals, Hypervisors, Cloud Security, Statistical Analysis, Modeling, Anomaly Detection, Deep Learning, Large Language Models, Mentoring

Industry

Software Development

Description

Investigate, analyze, and learn from ongoing cybersecurity attacks in order to develop durable detection and prevention solution/strategies across the kill-chain or product/OS enhancements. Shares and leads within team. As part of this you will primarily be running telemetry-based attack investigations and threat hunting mixed with light reverse-engineering. Design, code, and maintain client-side and cloud machine learning and automation systems that powers cybersecurity protection in our products and services. Experiment with and apply large language models and agentic systems to protect our customers and improve our internal systems. Support the management of incidents by applying technical knowledge to diagnose and triage issues with a commitment to maintaining the quality of products and services. Takes notes during incidents and participates in postmortem and root-cause analysis processes. Work with other internal and external teams to forge new and improve existing partnerships that help mature the product. Doctorate in Statistics, Mathematics, Computer Science or related field. OR 7+ years experience in software development lifecycle, large-scale computing, modeling, cybersecurity, and/or anomaly detection. 2+ years of experience with coding. 1+ years of experience with language models or machine learning. 1+ years leading security initiatives and publishing research. 1+ years mentoring and guiding researchers. These requirements include, but are not limited to the following specialized security screenings: Doctorate in Statistics, Mathematics, Computer Science or related field. OR 8+ years experience in software development lifecycle, large-scale computing, modeling, cybersecurity, and/or anomaly detection. 1+ years experience with OS internals, hypervisors, and cloud security architectures. Experience in classical and deep learning machine learning methods.

Responsibilities

Investigate and analyze ongoing cybersecurity attacks to develop detection and prevention strategies. Design and maintain machine learning and automation systems to enhance cybersecurity protection in products and services.