Senior Security Researcher

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.

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.
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.

• 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.
• 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.
• Supports 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.

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 $160,200 - $261,000 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

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

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