Sr. Principal Scientist, Secure Work Enablement
Amazon - Seattle, Washington, USA
Posted Oct 6, 2025
Benefits
- Parental leave
- 6 weeks From the posting source checked Jun 20, 2026
- Non-birth-parent leave
- 6 weeks From the posting source checked Jun 20, 2026
- Family-building benefits
- Mental health support
- Offered From the posting source checked Jun 20, 2026
- Relocation assistance
- Not verified
- Childcare support
- Offered From the posting source checked Jun 20, 2026
- Learning budget
- Not verified
- Verification
- Source-linked checked Jun 7, 2026
- Salary
- $240K-$325K From the posting source checked Jun 20, 2026
- 401(k) match
- Reported from DOL Form 5500 industry filing (not employer-specific)
Was this benefit information wrong? Tell us.
Market context
- U.S. role benchmark (BLS OEWS)
- $55,390 U.S. median for this role
- Projected growth (BLS Employment Projections)
- -0.1% - Decline
410% above the BLS role benchmark for teaching and education aggregate.
Posted salary is far from this role benchmark; treat it as low confidence.
Matched to SOC 25-2021 - Teaching and Education aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Sr. Principal Scientist, Secure Work Enablement Seattle, Washington, USA At Secure Work Enablement (SWE), we're pioneering breakthrough AI technologies that are fundamentally transforming how millions of teams and businesses work. Our mission combines leading machine learning research with Amazon's unparalleled expertise in enterprise computing and security to create the next generation of intelligent workplace solutions. Our portfolio encompasses four innovative domains where applied AI research is critical: Next-Generation End User Computing, where we're developing novel machine learning models for human-AI collaboration; Amazon One's advanced biometric systems; Secure Collaboration platforms Wickr and Chime; and Gaia - our revolutionary AI-native workspace that's redefining human-AI agent interactions. Each area presents unique opportunities for advancing the state-of-the-art in machine learning, natural language processing, and AI systems. We're at an inflection point where traditional workplace computing is being revolutionized by AI technologies. Our distinctive challenge lies in solving complex machine learning problems at scale while maintaining strict security requirements - from developing sophisticated ML models for secure information access to creating intelligent systems that can understand and enhance human productivity in real-time. With an accomplished team of 650+ technologists and multiple tier-1 services, we're seeking a Senior Principal Scientist to spearhead our AI research and development initiatives. This role offers the opportunity to tackle unprecedented challenges in applied machine learning, including: - Developing novel AI architectures for secure, enterprise-grade collaborative systems - Advancing the science of human-AI interaction in workplace environments - Creating new frameworks for AI agent orchestration and optimization - Pioneering new approaches
Read the full description at www.amazon.jobs. FewerJobs shows a preview and links to the original posting.
Apply link not verified; last-live date unavailable.
What verified means
Verified means a displayed claim has field-level provenance to a source FewerJobs pulled: a government or employer source, or the original job posting. Posting-sourced facts are employer-stated and are labeled separately from government records.
Related jobs
-
Sr. Principal Data Scientist - Machine Learning Engineer
Northrop Grumman - United States-Remote
-
Principal Technologist, Microsoft Copilot
Unisys CORP - Blue Bell, PA, United States of America
-
Research Scientist
Horizon Bancorp INC - Cupertino, California
-
Sr. Director - AI Engineering Productivity and Developer Experience
Cisco - San Jose, California, US