Applied Scientist: AI Reasoning & Scalable Models

Amazon; Austin (TX); On-site; Full time

Job description

Job Overview

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, seeks researchers to partner with technology and business teams to solve real‑world problems, working with large data and computational resources and world‑class engineers. The role will develop innovative solutions to hard problems and publish findings at peer‑reviewed conferences and workshops.

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.

Basic Qualifications

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

Preferred Qualifications

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

Salary and Benefits

• USA, CA, Santa Clara – $171,600.00 – $222,200.00 USD annually.
• USA, NY, New York – $172,400.00 – $223,400.00 USD annually.
• USA, WA, Seattle – $142,800.00 – $193,200.00 USD annually.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.