Invent and build AI‑driven agents and systems that transform how we analyze entities, telemetry, and behavioral data—pushing the boundaries of modern social engineering threat detection and protection. Turn deep analysis into decisive action by generating insights that drive durable detection and prevention strategies across the full attack kill chain, exposing protection gaps and directly influencing product improvements. Bachelors/.
Responsibilities
Collaborate across research, engineering, and partner teams—both internal and external—to establish new partnerships and strengthen existing ones that accelerate product maturity and unlock richer insights. Communicate complex findings with clarity and impact, distilling results into compelling narratives through data visualizations, infographics, and written and verbal briefings for researchers, developers, and engineers.
Required Qualifications
Master's degree with relevant course work toward Computer Science, Data Science, Statistics, Machine Learning, Data Mining, and equivalent work experience. 3+ years of professional experience in a technical role building and deploying ML solutions at scale for real-world problems. Proficiency in using statistical/analysis/ML tools, defining, and implementing intelligent solutions on data. Experience with deep learning applied to areas such as graph learning, IR, NLP, computer vision, etc., are preferred. Skilled working with large data sets, using big data tools and scripting languages such as: Excel, SQL, Python, Matlab, R, C, and/or PowerBI. Excellent cross-group and interpersonal skills, with the ability to articulate solutions. Additional experience in areas like cyber security, fraud detection, would be beneficial, but not mandatory.
Original Posting
This role is sourced from Microsoft. Apply on Microsoft careers page