Applied Scientist - Autonomous AI & Multimodal Models (Hybrid)

Amazon Web Services (AWS); Seattle (WA); Hybrid; USD 143,000 - 193,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon.com Services LLC is seeking world-class researchers for the AWS Agentic AI science team to build next‑generation models for intelligent automation. You will partner with technology and business teams, access vast data and compute resources, and publish findings at peer‑reviewed venues.

The role covers autonomous agents, API orchestration, planning, and RL for real-world impact. The team values mentorship, career growth, and a flexible, hybrid work model near AWS offices in the United

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.

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

3+ years building models

PhD or Master’s in CS/CE/ML

Publications or patents

Java/C++/Python

Algorithms & data structures

Education

PhD or Master’s degree in CS/CE/ML

Tools

Unix/Linux

Job description

Amazon.com Services LLC is seeking world-class researchers for the AWS Agentic AI science team to build next‑generation models for intelligent automation. You will partner with technology and business teams, access vast data and compute resources, and publish findings at peer‑reviewed venues.

The role covers autonomous agents, API orchestration, planning, and RL for real-world impact. The team values mentorship, career growth, and a flexible, hybrid work model near AWS offices in the United