RL Post-Training Scientist for LLMs & Tooling

Amazon Web Services (AWS); Seattle (WA); On-site; USD 167,000 - 226,000; Full time

Benefits offered by this job

Health insurance

401(k)

Job summary

Amazon.com Services LLC is seeking an ambitious Applied Scientist to advance RL post-training for frontier LLMs powering customer service at AWS. You will develop innovative methods, compare approaches, and collaborate with researchers and engineers to push state-of-the-art in language models.

The role emphasizes publishing results in peer-reviewed venues and translating research into practical cloud-based solutions, with opportunities to influence business strategies and product capabilities.

Qualifications

• PhD or Master's with 6+ years of applied research experience.
• Experience programming in Java, C++, Python and AI/ML fundamentals.
• Proficiency with deep learning frameworks such as MXNet or TensorFlow.

Responsibilities

• Develop RL post-training solutions for frontier LLMs used in customer service.
• Publish findings at peer-reviewed conferences and journals.
• Collaborate with technology and business teams to solve real-world problems.

Skills

Programming in Java, C++, Python

Neural deep learning methods

Education

PhD or Master's with 6+ years applied research

Tools

MxNet

TensorFlow

Job description

Amazon.com Services LLC is seeking an ambitious Applied Scientist to advance RL post-training for frontier LLMs powering customer service at AWS. You will develop innovative methods, compare approaches, and collaborate with researchers and engineers to push state-of-the-art in language models.

The role emphasizes publishing results in peer-reviewed venues and translating research into practical cloud-based solutions, with opportunities to influence business strategies and product capabilities.