Amazon Web Services, Inc.
Technology
AppliedScientist,AWSAppliedAISolutionsCoreServices
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Applied Scientist, AWS Applied AI Solutions Core Services at Amazon Web Services, Inc.. Skills: Geospatial optimization, AI agents, Spatial problems. Develop geospatial optimization models. Scope optimization projects”
What You'll Achieve.
Transforming every business; Deliver turnkey AI capabilities; Create delightful AI powered solutions; Enable intelligent agents; Understand and operate in physical world; Generalize across diverse customer use cases; Create scalable solutions; Customer deployment; Integrate heterogeneous data sources; Solve complex spatial problems; Integrate science components into production systems; Measure solution performance; Maintain clear path to customer impact; Transform research insights into scalable solutions; Shape future direction
Industry & Context.
Spatial problems; Complex spatial problems
What They're Looking For.
Must Have
Experience programming in Java, C++, Python or related language, Experience with SQL and an RDBMS or Data Warehouse
Nice to Have
Experience implementing algorithms using toolkits and self-developed code, Publications at top-tier peer-reviewed conferences or journals
What You'll Do.
Develop geospatial optimization models
Scope optimization projects
Abstract complex science problems
Discover optimization models
Evaluate optimization models
Adapt geospatial tools
Develop semantic enrichment methods
Integrate heterogeneous data sources
Research novel approaches
Combine AI agents with geospatial optimization
Solve complex spatial problems
Collaborate with engineering teams
Integrate science components into production systems
Conduct rigorous experimentation
Establish evaluation frameworks
Measure solution performance
How You'll Work.
Team & Collaboration
Engineering teams; Other scientists and engineers
Full Job Description
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. Key job 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 A day in the life 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 requireme
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