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Applied Scientist, AgentCore Science

Amazon

New York, NYJob$172–223K/yrSeen 1 day agoSeen in employer's feed 1 day ago

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At a glance

Compensation
$172–223K/yr
Location
New York, NY
Work Authorization
Not specified

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Job overview

Amazon seeks a passionate scientist to lead research and development of agent memory techniques, including short‑term and long‑term architectures, knowledge retrieval, consolidation, and personalization, while driving continuous learning innovations for AWS customers.

Skills & qualifications

RequiredNice to have

Skills

JavaC++PythonUnix/LinuxProfessional Software Development

Qualifications

PhD or Master's Degree With 4+ Years Experience3+ Years Building Models for Business ApplicationsExperience in Patents or Publications at Top‑Tier Peer‑Reviewed Conferences or Journals

Benefits

Medical Insurance
401(k) Match
Paid Time Off
Parental Leave

Full 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.

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

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, NY, New York - 172,400.00 - 223,400.00 USD annually

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