Hiring: Sr. Applied Scientist, Amazon Cyber Threat Intelligence Company: Amazon Location: Austin, TX Job Posted Time: 2026-09-09 17:58:27 Employment Type: Full-time Target Skills & Keywords: Applied Science, AI/ML, Cyber Threat Intelligence, Threat Detection, Anomaly Detection, Graph Neural Networks, LLMs, Malware Classification, Few-Shot Learning, Data Pipelines, Feature Engineering, Model Deployment, Python, USENIX Security, IEEE S&P, ACM CCS, NeurIPS Experience: - Senior-level applied science experience inventing and deploying novel AI/ML systems - Experience solving ambiguous, scientifically-complex problems where traditional engineering approaches fall short - Experience building predictive models, graph neural networks, and LLM-powered systems - Experience designing, building, and deploying production AI/ML systems at scale, from model training on petabyte-scale logs to real-time inference - Experience developing end-to-end solutions including data pipelines, feature engineering, model training, evaluation frameworks, and production monitoring - Experience publishing research at peer-reviewed venues (e.g., USENIX Security, IEEE S&P, ACM CCS, NeurIPS workshops) - Experience mentoring engineers and analysts on AI/ML concepts - Must be a US Citizen Required Skills: - AI/ML model development for cybersecurity applications - Threat scoring, malware classification, and infrastructure clustering - Anomaly detection on noisy data - Few-shot learning for emerging threat families - Graph-based reasoning over attacker infrastructure - Production-quality coding and operational excellence (reliability, maintainability, cost efficiency) - Cross-team influence and consensus building - Strong analytical rigor balanced with operational urgency Qualifications: - Proven ability to identify, frame, and solve scientifically-complex threat intelligence problems with no textbook solutions - Ability to drive a scientific agenda, propose research initiatives, define success metrics, and secure management buy-in - Ability to extend and invent machine learning techniques for cybersecurity applications - Ability to partner with engineering teams to integrate AI/ML models into existing intelligence platforms - Ability to represent an organization in internal science communities and the broader information security research ecosystem - US Citizenship required 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!