Applied Scientist, RL post-training, AWS
Core
Develop Reinforcement Learning (RL) post-training solutions for frontier Large Language Models (LLMs) to enhance instruction following, reasoning over long context, and tool use for cloud computing customers.
Role type
Applied Scientist (RL post-training)
Builds
Production LLM capabilities and research findings
Domain
Cloud computing, Artificial Intelligence, Reinforcement Learning
Deliverable
production ML models | research
Required skills
Reinforcement Learning, Large Language Models, numerical optimization, parallel and distributed computing, high-performance computing, algorithms and data structures, data mining, Java, C++, Python
Preferred skills
Unix/Linux, professional software development
Technologies
Java, C++, Python
Responsibilities
Develop innovative RL post-training solutions for LLMs, partner with technology and business teams to solve real-world problems, publish findings at peer-reviewed conferences and journals
Seniority
Senior, hands-on IC