Amazon Web Services, Inc.
Technology
AppliedScientist,AWS
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Applied Scientist, AWS at Amazon Web Services, Inc.. Skills: Agentic AI, Intelligent automation, Large multimodal models. Define automated reasoning features. Implement automated reasoning features”
What You'll Achieve.
See research have impact
Industry & Context.
Solve real-world problems; Solve complex problems
What They're Looking For.
Must Have
3+ years building models, PhD or Master's degree, 4+ years CS, CE, ML experience, Experience in patents or publications, Experience programming in Java, C++, Python, Experience in algorithms and data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel and distributed computing, Experience in high-performance computing
Nice to Have
Experience using Unix/Linux, Experience in professional software development
What You'll Do.
Define automated reasoning features
Implement automated reasoning features
Apply software engineering best practices
Ensure high standard of quality
Work in agile development environment
Deliver scientific artifacts
Drive business decisions
How You'll Work.
Team & Collaboration
Technology teams; Business teams; World-class engineers; Developers
Process & Methodology
Agile
Full Job Description
Come join the AWS Agentic AI science team in building the next generation models for intelligent automation. AWS, the world-leading provider of cloud services, has fostered the creation and growth of countless new businesses, and is a positive force for good. Our customers bring problems that will give Applied Scientists like you endless opportunities to see your research have a positive and immediate impact in the world. You will have the opportunity to partner with technology and business teams to solve real-world problems, have access to virtually endless data and computational resources, and to world-class engineers and developers that can help bring your ideas into the world. As part of the team, we expect that you will develop innovative solutions to hard problems, and publish your findings at peer reviewed conferences and workshops. We are looking for world class researchers with experience in one or more of the following areas - autonomous agents, API orchestration, Planning, large multimodal models (especially vision-language models), reinforcement learning (RL) and sequential decision making. * Define and implement new automated reasoning features that employ scalable and efficient approaches to solve complex problems using neural learning and symbolic/formal reasoning * Apply software engineering best practices to ensure a high standard of quality for all team deliverables * Work in an agile, startup-like development environment * Deliver high-quality scientific artifacts * Work with the team to help drive business decisions About the team Why AWS? AWS is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a cult
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