Applied Scientist, AWS Applied AI Solutions Core Services

Amazon • Seattle, WA

22h

About The Position

As part of the AWS Applied AI Solutions Core Services organization, we're
advancing the frontier of geospatial intelligence and AI-powered spatial
reasoning. Our vision is to be the trusted foundation for transforming every
business with Amazon AI teammates. Our mission is to deliver turnkey,
enterprise-grade foundational AI capabilities that create delightful AI powered
solutions. We're building sophisticated AI systems that enable intelligent
agents to understand and operate effectively in the physical world through
advanced geospatial optimization.

A day in the life As an Applied Scientist, you'll develop optimization
algorithms and AI-powered geospatial solutions while maintaining a clear path to
customer impact. You'll investigate novel approaches to spatial optimization,
develop methods for semantic data enrichment, and validate ideas through
rigorous experimentation with real customer data. You'll collaborate with other
scientists and engineers to transform research insights into scalable solutions,
work directly with enterprise customers to understand requirements, and help
shape the future direction. Leveraging and advancing generative AI technology
will be a big part of your charter.

Our Applied AI Solutions Core Services Science team is tackling fundamental
challenges in geospatial optimization and AI-powered spatial reasoning. We're
investigating novel approaches to how AI systems can solve complex logistics and
transportation problems, reason about spatial relationships, and integrate
diverse data sources to create enterprise-grade geospatial intelligence. Working
at the intersection of optimization, large language models, and geospatial data
science, we're developing practical techniques that advance the state-of-the-art
in geospatial AI.

Requirements

• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• 3+ years of building models for business application 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

Nice To Haves

• Experience using Unix/Linux
• Experience in professional software development

Responsibilities

• Develop geospatial optimization models that generalize across diverse customer use cases in logistics, transportation, and spatial planning
• Scope optimization projects with multiple customers in mind, abstracting away complex science problems to create scalable solutions
• Discover, evaluate, and adapt existing optimization models and geospatial tools for customer deployment
• Develop semantic enrichment methods to integrate heterogeneous data sources including open geospatial data, multimodal sensor data, images, videos, satellite imagery, and documents
• Research novel approaches combining AI agents with geospatial optimization to solve complex spatial problems
• Collaborate with engineering teams to integrate science components into production systems
• Conduct rigorous experimentation and establish evaluation frameworks to measure solution performance

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level