Applied Scientist, Foundational Capabilities, AWS Applied AI Solutions Core Services
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Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
23 hours ago
Vacancies:
1 Vacancy
Job Summary
Key job responsibilities
- Develop specialized PII and PHI detection methods for domain-specific contexts where general-purpose models struggle with regulatory requirements or specialized language
- Create runtime evaluation frameworks for AI agents that identify model drift and trigger automated improvement processes
- Research novel approaches to content redaction that balance privacy protection with operational efficiency
- Design evaluation methodologies that assess agent performance across diverse operational contexts
- Collaborate with platform engineering teams to integrate science components into foundational infrastructure
- Conduct rigorous experimentation and establish evaluation frameworks to measure agentic solution performance
A day in the life
As an Applied Scientist youll explore emerging opportunities at the intersection of AI platform capabilities and applied science. Youll investigate novel approaches to specialized content processing develop methods for agent evaluation and validate ideas through rigorous experimentation with production systems. Youll collaborate with other scientists and engineers to identify where science can provide differentiation work directly with platform teams to understand technical constraints and help shape the future direction of AI platform capabilities as customer signals emerge.
About the team
Our team is a central science organization supporting multiple product teams across AWS Core Services. We tackle fundamental challenges in AI and machine learning that require novel approaches beyond off-the-shelf solutions. Working at the intersection of machine learning large language models and domain-specific applications we develop practical techniques that advance the state-of-the-art while maintaining a clear path to customer impact. Our team builds deep domain expertise across geospatial intelligence trust and safety systems autonomous operations and other critical areas collaborating closely with engineering teams to transform research insights into scalable production solutions.
- 3 years of building models for business application experience
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- Experience using Unix/Linux
- Experience in professional software development
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Seattle - 142800.00 - 193200.00 USD annually
Required Experience:
IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
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