Hiring: Sr. Applied Scientist, Amazon Cyber Threat Intelligence Company: Amazon Location: Arlington, VA Job Posted Time: 2026-09-09 17:58:26 Employment Type: Full-time Target Skills & Keywords: Applied Science, AI/ML, Cyber Threat Intelligence, Threat Detection, Anomaly Detection, Graph Neural Networks, LLM, Malware Classification, Infrastructure Clustering, Few-Shot Learning, Data Pipelines, Feature Engineering, Model Training, Production Monitoring, Python, USENIX Security, IEEE S&P, ACM CCS, NeurIPS Experience: - Senior-level applied science experience in AI/ML - Proven track record of inventing and deploying novel AI/ML systems at scale - Experience solving ambiguous, scientifically-complex problems - Experience publishing research at peer-reviewed venues (e.g., USENIX Security, IEEE S&P, ACM CCS, NeurIPS workshops) - Experience designing, building, and deploying production AI/ML systems processing petabyte-scale data - Experience with real-time inference serving millions of predictions daily - Experience mentoring engineers and analysts on AI/ML concepts - Experience influencing cross-functional teams and building consensus on scientific approaches Required Skills: - AI/ML model development, training, and evaluation - Anomaly detection on noisy data - Few-shot learning for emerging threat families - Graph-based reasoning over attacker infrastructure - Graph neural networks for clustering adversary infrastructure - LLM-powered systems for intelligence automation - Data pipelines and feature engineering - Production monitoring and operational excellence (reliability, maintainability, cost efficiency) - Production-quality coding - Cybersecurity applications of machine learning - Threat scoring, malware classification, infrastructure clustering, intelligence automation Qualifications: - Must be a US Citizen - Strong scientific rigor and analytical skills - Ability to frame and solve scientifically-complex problems where no textbook solutions exist - Ability to propose research initiatives, define success metrics, and secure management buy-in - Ability to balance analytical rigor with operational urgency - Strong communication and consensus-building skills - Ability to represent the team in internal science community and broader information security research ecosystem Compensation: Not specified in the provided job text. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!