Applied Scientist II – AI & Automation for Systems

Amazon Inc.; Santa Clara (CA); Sur place; USD 172 000 - 222 000; Plein temps

Avantages offerts par ce poste

Health insurance

401(k) matching

Paid time off

Parental leave

Résumé du poste

Amazon Science in Santa Clara is seeking a highly skilled AI scientist to join the AWS Agentic AI science team. You will build next-generation models for intelligent automation, partner with technology and business teams, and publish your findings at peer-reviewed conferences.

You will define scalable automated reasoning features, apply software engineering best practices, work in an agile environment, and help drive business decisions through high-quality scientific artifacts while advancing

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 algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.

Responsabilités

• 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

Connaissances

Modeling for business apps

Publications in top conferences

Programming in Java/C++/Python

Algorithms & data structures

Description du poste

Amazon Science in Santa Clara is seeking a highly skilled AI scientist to join the AWS Agentic AI science team. You will build next-generation models for intelligent automation, partner with technology and business teams, and publish your findings at peer-reviewed conferences.

You will define scalable automated reasoning features, apply software engineering best practices, work in an agile environment, and help drive business decisions through high-quality scientific artifacts while advancing