Applied Scientist, AWS Applied AI Solutions Core Services
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Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
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 youll develop optimization algorithms and AI-powered geospatial solutions while maintaining a clear path to customer impact. Youll investigate novel approaches to spatial optimization develop methods for semantic data enrichment and validate ideas through rigorous experimentation with real customer data. Youll 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.
About the team
Our Applied AI Solutions Core Services Science team is tackling fundamental challenges in geospatial optimization and AI-powered spatial reasoning. Were 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 were developing practical techniques that advance the state-of-the-art in geospatial AI.
- PhD or Masters 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
- 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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