About the job
The AWS Marketplace & Partner Services Science team seeks an Applied Scientist to drive innovation across multiple AI domains, including Context Engineering in Agent-based Systems, Agent Evaluations, and Next-generation Recommendations. This role will be instrumental in revolutionizing how customers discover solutions for cloud migrations and modernization initiatives.
Responsibilities
Design, develop, optimize, and deploy solutions for large language models and agent-based systems, by employing a wide range of methodologies, working from simple to complex
Establish innovative and useful evaluation strategies for measuring agent performance and effectiveness
Collaborate with cross-functional teams, such as Product and Engineering leaders, to translate scientific innovations into customer value
Publishing research or contributing to internal/external publications
Contribute to initiatives that employ the most recent advances in ML/AI in a fast-paced, experimental environment
Qualifications
Minimum
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 communicating complex ideas to technical and non-technical audiences
Preferred
Deep expertise in state-of-the-art AI approaches, particularly in agent-based architectures, evaluation of LLMs and AI systems, deep learning, and reinforcement learning
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Track record of delivering production-scale AI solutions
Experience collaborating with UX, Product, and technical partners