Applied Scientist, RL post-training, AWS

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

Applied Scientist, RL post-training, AWS

Job ID: 10560685 | Amazon Web Services, Inc.

Do you want to work on Reinforcement Learning (RL) post-training of frontier Large Language Models (LLMs) to revolutionize customer service? Come join the world class researchers and academics in the AWS AI endeavor, and develop the science that powers countless new businesses in cloud computing!

AWS, the world-leading provider of cloud services. Our customers bring problems that will give Applied Scientists like you endless opportunities to see your research have a positive and immediate impact in the world. You will have the opportunity to partner with technology and business teams to solve real-world problems, have access to virtually endless data and computational resources, and to world-class engineers and developers that can help bring your ideas into the world. As part of the team, we expect that you will develop innovative solutions to hard problems, and publish your findings at peer reviewed conferences and journals.

The scientific topics you are going to work on include, but are not limited to: LLM post-training to improve capabilities particularly for instruction following, reasoning over long context, and tool use, etc.

Basic 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
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Preferred Qualifications

• Experience using Unix/Linux
• Experience in professional software development

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually