Applied Scientist II — AI for Autonomous Agents

Amazon Inc.

Seattle (WA)

On-site

USD 172,000 - 222,000

Full time

2 days ago
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Job summary

Amazon Web Services, Inc. is seeking researchers for the AWS Agentic AI science team to develop next‑generation models for intelligent automation.

You will collaborate with tech and business teams to solve real-world problems, access extensive data and compute resources, and publish findings at peer‑reviewed venues. We value candidates with publications or patents, experience in Java/C++, Python, and a solid foundation in algorithms and data structures.

Qualifications

  • 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.

Responsibilities

  • 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.

Skills

Model building for business apps
Publications/patents
Java/C++/Python
Algorithms and data structures

Job description

Amazon Web Services, Inc. is seeking researchers for the AWS Agentic AI science team to develop next‑generation models for intelligent automation.

You will collaborate with tech and business teams to solve real-world problems, access extensive data and compute resources, and publish findings at peer‑reviewed venues. We value candidates with publications or patents, experience in Java/C++, Python, and a solid foundation in algorithms and data structures.

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