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Applied Scientist II, AWS Agentic AI

Job in Santa Clara, Santa Clara County, California, 95053, USA
Listing for: Socket.dev
Full Time position
Listed on 2026-08-03
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 171600 - 222200 USD Yearly USD 171600.00 222200.00 YEAR
Job Description & How to Apply Below

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 Agentoptimization/learning, through various techniques ranging from model fine-tuning(e.g. RL) to context optimization, as a foundational layer for AWS customers tobuild reliable and performant Agents.

You will have the opportunity to take a product from zero to one by influencingdirectly the product and science roadmap, and impact millions of our customers.

You will also gain hands on experience with Amazon’s large-scale computingresources to accelerate advances in foundation models.

Key job responsibilities
  • Develop short-term and long-term science roadmap for research in the broadarea 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 beforemoving it to production
  • Collaborate across product and engineering teams to transfer scienceinnovations into AWS customer facing product.
About the team

Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path,or includes alternative experiences, don’t let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adoptedcloud platform. We pioneered cloud computing and never stopped innovating —that’s why customers from the most successful startups to Global 500 companiestrust our robust suite of products and services to power their businesses.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-ledaffinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and Amaze Con) conferences, inspire usto never stop embracing our uniqueness.

Mentorship & Career Growth

We’re continuously raising our performance bar as we strive to become Earth’sBest Employer. That’s why you’ll find endless knowledge-sharing, mentorship andother career-advancing resources here to help you develop into a better-roundedprofessional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at theexpense of sacrifices at home, which is why we strive for flexibility as part ofour working culture. When we feel supported in the workplace and at home,there’s nothing we can’t achieve in the cloud.

Basic 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 orjournals
  • Experience programming in Java, C++, Python or related language

Preferred Qualifications:

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

Amazon is an equal opportunity employer and does not discriminate on the basisof protected veteran status, disability, or other legally protected status.

Los Angeles County applicants:
Job duties for this position include: work safelyand cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position.

These include the dutiesand responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business…

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