Applied Scientist: AI for Intelligent Automation

Amazon Inc.

Seattle (WA)

Ibrido

USD 172.000 - 222.000

Tempo pieno

5 giorni fa
Candidati tra i primi

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Vantaggi offerti da questo lavoro

Health insurance
401(k) matching
Paid time off
Parental leave
RSU

Descrizione del lavoro

Amazon is building the AWS Agentic AI science team to create next-generation models for intelligent automation. This role collaborates with technology and business units to solve real-world problems using vast data and compute resources.

You will publish findings at peer conferences and work with world-class engineers to bring ideas into production. The team emphasizes mentorship, career growth, and flexible, inclusive culture, with opportunities to influence business decisions and scale

Competenze

  • 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.

Mansioni

  • Define and implement new automated reasoning features using scalable approaches to solve complex problems.
  • Apply software engineering best practices to ensure high quality for team deliverables.
  • Work in an agile, startup-like development environment.
  • Deliver high-quality scientific artifacts.
  • Work with the team to help drive business decisions.

Conoscenze

3+ years building models
PhD or MS with 4+ years CS/ML
Publications in peer-reviewed venues
Java, C++, Python
Algorithms & data structures
Unix/Linux
Professional software development

Formazione

PhD
Master's degree in CS/CE/ML or related

Strumenti

Unix/Linux

Descrizione del lavoro

Amazon is building the AWS Agentic AI science team to create next-generation models for intelligent automation. This role collaborates with technology and business units to solve real-world problems using vast data and compute resources.

You will publish findings at peer conferences and work with world-class engineers to bring ideas into production. The team emphasizes mentorship, career growth, and flexible, inclusive culture, with opportunities to influence business decisions and scale

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