| Microsoft Careers

Microsoft

Quick summary

Work type
On-site
Location
Redmond, WA
Salary
$139,900–$274,800 / yr
Posted
56 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $181k
This role $207k
$101k most similar roles pay here $293k

This role pays more than 76% of similar roles. Most pay $155,000–$207,350 — the shaded band above. At the midpoint, this role pays about $207k versus about $181k for comparable roles.

Based on 238 similar postings.

Employer

About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 1103 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 985 roles with salary data.

Most-posted roles

View all roles at Microsoft

At a glance

TL;DR · | Microsoft Careers

Join the core machine learning and data science team at Microsoft Defender for Endpoint (MDE), a critical product safeguarding over a billion end users from cybersecurity threats. As a senior member, you will lead investigations into ongoing attacks, develop durable detection strategies, and enhance products through telemetry analysis and threat hunting. Your day-to-day involves designing and maintaining machine learning systems on both client-side and cloud platforms to protect customers at scale. You’ll experiment with large language models and agentic systems to innovate security solutions while supporting incident management and collaborating with internal teams to mature the product. Ideal candidates have a PhD or extensive experience in software development, cybersecurity, and anomaly detection, along with expertise in machine learning methods and OS internals.

What you'll do

  • Investigate and analyze ongoing cybersecurity attacks to develop effective detection and prevention strategies.
  • Design and maintain ML and automation systems for client-side and cloud-based cybersecurity protection.
  • Experiment with large language models and agentic systems to enhance customer security and internal processes.
  • Support incident management by diagnosing issues, triaging problems, and participating in postmortem analysis.
  • Collaborate with internal and external teams to establish partnerships that advance the product's maturity.

What we're looking for

  • Doctorate in Statistics, Mathematics, Computer Science or related field, or 7+ years of experience in software development lifecycle.
  • At least 2 years of coding experience and 1 year each with language models and machine learning.
  • Proven leadership in security initiatives and research publication.
  • Experience mentoring researchers and guiding them through projects.
  • Strong background in OS internals, hypervisors, and cloud security architectures.

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