Applied Scientist, AgentCore Science

Amazon; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

Amazon is seeking a passionate and inventive scientist to advance foundational models and Agentic AI within AWS AgentCore Science in Amazon. You will lead research and develop techniques for efficient agent memory, from memory architectures to knowledge retrieval and personalization.

You will drive continuous learning, enabling agents to autonomously adapt, evolve, and improve through experience and feedback, building a reliable foundation for AWS customers to deploy high-performing Agents.

Job description

Description

Amazon is looking for a passionate and inventive scientist to advance the science in foundational models and Agentic AI. Specifically, as part of our science team in Amazon AWS AgentCore Science, you will lead the research and development of techniques for efficient and effective Agent memory, through various techniques ranging from short-term and long-term memory architectures to knowledge retrieval, memory consolidation, and personalization. You will also drive innovations in continuous learning, enabling agents to autonomously adapt, evolve, and improve over time through experience and feedback, as a foundational layer for AWS customers to build reliable and performant Agents.

Key job responsibilities

Amazon is looking for a passionate and inventive scientist to advance the science in foundational models and Agentic AI. Specifically, as part of our science team in Amazon AWS AgentCore Science, you will lead the research and development of techniques for efficient and effective Agent memory, through various techniques ranging from short-term and long-term memory architectures to knowledge retrieval, memory consolidation, and personalization. You will also drive innovations in continuous learning, enabling agents to autonomously adapt, evolve, and improve over time through experience and feedback, as a foundational layer for AWS customers to build reliable and performant Agents.