Applied Scientist II- Web Security Research

Microsoft Ads Fraud Detection operates at the intersection of Security and Machine learning. We design and develop fraud detection algorithms that run at webscale in real time and protect billions of dollars of revenue from fraudsters. Our algorithms need to run in a high precision/ high recall operating point. 

We are always in a race with fraudsters to design new ways to detect fraud.

This role is available in Mountain View, CA or Redmond, WA.

As an Applied Scientist II-Web Security Research on our team, you'll be at the forefront of web security research. You will develop a deep understanding of advertising eco-system at an individual request level and exploit that knowledge systematically to identify new signals that can set fraudsters apart. You will investigate complex and evolving attacks and develop signals to detect them.  Given the large surface area that needs to be protected, you will create tools to allow you to scale and drive high impact. 

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.

Responsibilities

• Research and develop methods to collect signals relevant for fraud detection from different surfaces (mobile/desktop browsers, apps, and browser extensions). 
• Devise methods to detect automation tools like Playwright, nefarious VPNs, Botnets and Malware. 
• Discover and convert adversary tactics, techniques, and procedures into actionable signals. 
• Engage with wider security community to the advance and enhance state of the art. 
• Convert what you learn into tools that multiplies the impact for the whole team. 
• Embody our Culture and Values 

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science, or Computer Engineering, AND 2+ years related experience (e.g., web security or fraud detection)
  • OR Master's Degree in Computer Science, or Computer Engineering AND 1+ year(s) related experience(e.g., web security or fraud detection)
  • OR Doctorate in Computer Science, or Computer Engineering, or related field (e.g., web security or fraud detection)
  • OR equivalent experience.
• 2+ year(s) of experience with Java Script debugging, JavaScript development, Chrome Debugger, Developer tools, App development for iOS and Android<