Sr. Principal Scientist, Secure Work Enablement
Core
Leading machine learning research and development for secure, enterprise-grade collaborative systems, human-AI interaction, and AI agent orchestration within Amazon's Secure Work Enablement portfolio.
Role type
Senior Principal Scientist (Applied AI/ML Research)
Builds
Next-Generation End User Computing, Amazon One biometric systems, Secure Collaboration platforms (Wickr, Chime), and Gaia AI-native workspace.
Domain
Enterprise Security, Applied Machine Learning, Generative AI, Human-AI Collaboration
Deliverable
production ML models
Required skills
Large language models (LLMs), generative AI, agentic AI, reinforcement learning, recommender systems, peer-reviewed scientific publications, algorithm design, mathematics and statistics, machine learning platform strategy
Preferred skills
15+ years of research experience post-PhD, product launch execution, leading senior scientists and engineers, strategic business judgment, working with real-world big data sets
Technologies
LLMs, GenAI, Reinforcement Learning, Agentic AI
Responsibilities
Define long-term science vision and translate it into actionable plans for applied scientists and engineers; invent new product experiences enabling team and agent collaboration; liaise with internal partners to bring state-of-the-art LLM/GenAI models to production; work with academic partners to support in-house talent with direct access to leading research and mentoring.
Seniority
Senior, hands-on IC with strategy & mentorship