RL Post-Training Scientist for LLMs | Large-Scale Impact

Amazon Inc.; Seattle, Northern (WA, KY); Hybrid; USD 143,000 - 193,000; Full time

Job summary

Amazon Web Services, Inc. is seeking an Applied Scientist to advance RL post-training for frontier LLMs, unlocking improved instruction following and long-context reasoning.

You will work with AWS AI researchers to develop scalable solutions that impact customer service and cloud offerings. The role emphasizes collaboration with cross-functional teams, rigorous experimentation, and publication of findings in peer-reviewed venues, contributing to state-of-the-art AI in a large-scale cloud

Qualifications

• PhD or MS with 4+ years in CS, CE, ML or related field.
• Experience in patents or publications at top-tier conferences or journals.
• 3+ years building models for business applications.

Responsibilities

• Work on RL post-training for frontier LLMs to improve capabilities and instruction following.
• Collaborate with researchers and engineers to publish findings at peer-reviewed venues.
• Partner with technology and business teams to solve real-world problems in cloud computing.

Skills

Java

C++

Python

Algorithms

Parallel computing

Distributed computing

Numerical optimization

Education

PhD or MS + 4+ years CS/CE/ML

Tools

Unix/Linux

Professional software development

Job description

Amazon Web Services, Inc. is seeking an Applied Scientist to advance RL post-training for frontier LLMs, unlocking improved instruction following and long-context reasoning.

You will work with AWS AI researchers to develop scalable solutions that impact customer service and cloud offerings. The role emphasizes collaboration with cross-functional teams, rigorous experimentation, and publication of findings in peer-reviewed venues, contributing to state-of-the-art AI in a large-scale cloud