Amazon
Principal Applied Scientist, Secure Work Enablement
$199K–$269K
Seattle, WA · Principal · Full-time · Posted Jul 9, 2026
- Experience
- 5+ years in predictive modeling and analysis; preferred: 10+ years of relevant work in industry or academia.
- Education
- PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field.
About the job
Lead the scientific strategy and production development of WorkSpaces Advisor, an agentic AI system for diagnosing workspace issues and autonomously orchestrating safe remediation.
What you'll do
- Set the research agenda and technical roadmap for agentic troubleshooting and self-healing systems.
- Build reasoning, planning, causal inference, learning, evaluation, and safety capabilities for Advisor.
- Lead and mentor scientists and engineers, align cross-functional teams, and deliver production systems and scientific contributions.
What they ask for
- PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field.
- 5+ years of hands-on work in predictive modeling and analysis experience.
- Experience programming in Java, C++, Python or related language.
- Experience leading experienced scientists and developing junior members; experience translating informal customer requirements into problem definitions amid ambiguity and competing objectives.
Nice to have
- 10+ years of relevant work in industry or academia experience.
- Experience creating novel algorithms and advancing the state of the art; peer-reviewed contributions in premier journals and conferences.
Pay
198,900.00 - 269,000.00 USD annually (base salary)
Tools
Java, C++, Python, RLHF, RAG
AI focus
Develop agentic AI for autonomous workspace troubleshooting, including reasoning and planning, causal root-cause analysis, multi-step remediation, continuous learning, natural-language explanations, and safety guardrails.
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