Applied Scientist II, AWS Agentic AI

About the role

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 Agentic AI, you will lead the research and development of techniques for efficient and effective Agent optimization/learning, through various techniques ranging from model fine-tuning (e.g. RL) to context optimization, as a foundational layer for AWS customers to build reliable and performant Agents.

Responsibilities

• Develop short-term and long-term science roadmap for research in the broad area of Agent optimization/learning, which could range from RL reward shaping, training efficiency optimization, to automatic prompt optimization and techniques to learn from agent memory.
• Develop concrete science plan, implement and validate research idea before moving it to production.
• Collaborate across product and engineering teams to transfer science innovations into AWS customer facing product.

Requirements

Key job responsibilities include:

• Work safely and cooperatively with other employees, supervisors, and staff.
• Adequately adhere to standards of excellence despite stressful conditions.
• Communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service.
• Follow all federal, state, and local laws and Company policies.

Qualifications

• 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.

Preferred Qualifications

• Experience with techniques like RL, reward modeling, inference optimization, agent task/environment synthesis.

Pay

$171,600.00 - $222,200.00 USD annually