Applied Scientist, Foundational Capabilities, AWS Applied AI Solutions Core Services

Description

• 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

As an Applied Scientist, you'll explore emerging opportunities at the intersection of AI platform capabilities and applied science. You'll investigate novel approaches to specialized content processing, develop methods for agent evaluation, and validate ideas through rigorous experimentation with production systems. You'll 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.

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 Master's 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 (Use the "Apply for this Job" box below). for more information. If the country/region you’re applying in isn’t 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.

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USA, WA, Seattle -  -  USD annually