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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 Defender for Endpoint (MDE) is a product for preventative protection, post-breach detection, automated investigation, and response. Our team, the core machine learning and data science team, is responsible for building ML, LLM, and automation solutions that defend over a billion end users and enterprises from cybersecurity attacks through Microsoft Defender AntiVirus, Microsoft Defender Endpoint Detection and Response, and Network Protection products. We are a mix of machine learning engineers and security researchers who investigate attacks, develop big data pipelines, run experiments, and deploy our protection to production to protect customers at scale.
Job Responsibility:
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
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
Work with other internal and external teams to forge new and improve existing partnerships that help mature the product
Requirements:
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
Ability to meet Microsoft, customer and/or government security screening requirements
Nice to have:
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