Senior Applied Scientist, AWS Security
Core
Design, build, and deploy AI/ML systems to detect and automate mitigation of cybersecurity threats across AWS infrastructure using GenAI and big data.
Role type
Senior Applied Scientist (Cybersecurity & GenAI)
Builds
Production AI/ML services for threat detection and automated response at petabyte scale
Domain
Cloud Security / Machine Learning / Generative AI
Deliverable
production ML models
Required skills
GenAI, machine learning, big data analytics, threat detection, Python programming, team leadership, research agenda definition, technical mentoring
Preferred skills
cybersecurity ML applications, GenAI application development, large-scale distributed systems (Hadoop, Spark), AWS cloud services (SageMaker, Bedrock, EMR, Glue, Lambda, S3)
Technologies
Python, Hadoop, Spark, SageMaker, Bedrock, EMR, Glue, Lambda, S3
Responsibilities
Design and deploy AI/ML systems for real-time threat data processing; conduct data analysis to prototype detection of unknown security problems; independently frame ambiguous problems and deliver research agendas; advocate for new technologies to solve complex security problems; build consensus on scientific approaches; mentor and develop teammates; publish patents and peer-reviewed articles
Seniority
Senior, hands-on IC with leadership responsibilities
