Digital thieves are getting sophisticated and harder to detect and stop, and our customers are looking up to us to protect their accounts, subscriptions, data and services from compromise – whether in their own data centers or in Microsoft's cloud environments. Beyond taking proactive measures like improving infrastructure security, Privileged Identity Management, multi-factor authentication, etc, our team is focused on employing machine learning over data across Azure services to develop security detections that protect our customers. As an engineer in our team in C+E Security division you are uniquely positioned to apply machine learning techniques to detect unseen patterns of malicious and suspicious behavior. You will develop detection algorithms that will be applicable across multiple services and data sources, enabling us to build detections at scale, and keeping up with constantly changing threat landscape. Your detections will create a multiplier effect on security analyst's investigations,
Job Responsibilities include: • Develop high-performance machine learning systems for detecting abnormality, intrusion, fraud, masquerading, etc. • Deliver end to end solutions to analyze data that originates from users, services, or other automated systems • Develop infrastructure as required to enable new experiences in enterprise security intelligence by deriving meaning from vast array of enterprise data about users and their activity • Actively engage other teams across the company to identify security scenarios where machine learning/applied statistics can be used, and lead the development
Required Qualifications: 2+ years of experience developing production quality code in a professional software engineering role Preferred Qualifications: 2+ years of educational or professional experience in applying machine learning and data mining techniques to real problems with copious amounts of data Strong algorithmic background and experience applying knowledge to solve real problems Experience with very large scale data processing/analysis (a.k.a. big data) Strong C++ and/or C# skills (C# preferred) and understanding of software design patterns Experience developing high-performance service-oriented