Senior Applied Scientist, AWS Agentic AI, AWS AI Fundamental Research

Senior Applied Scientist, Amazon AWS Agentic AI, AWS AI Fundamental Research

Amazon is looking for a passionate, talented, and inventive Applied Scientist with a strong machine learning background to help build industry-leading technology in generative AI and foundational models.

As part of our AI team in Amazon AWS, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance the state‑of‑the‑art in generative AI. Your work will directly impact millions of our customers in the form of products and services that make use of speech, vision and language technology.

Agentic AI drives innovation at the forefront of artificial intelligence, enabling customers to transform their businesses through generative AI solutions. We build and deliver the foundational AI services that power the future of cloud computing, helping organizations harness the potential of AI to solve their most complex challenges.

• Lead the design and development of agentic evaluation frameworks and evaluation/critic model training that assess the quality and effectiveness of AI agents at scale.
• Define evaluation methodologies, create benchmarks, and build evaluation models and automated systems that measure agent performance across critical dimensions.
• Stay at the forefront of the rapidly evolving field by studying and adopting state‑of‑the‑art methods, conducting original research to advance the science of agent and evaluation.
• Own the end‑to‑end lifecycle from research and data curation through model training to production deployment, working closely with engineering to deliver evaluation capabilities as managed AWS services.
• Collaborate with cross‑functional stakeholders to translate science insights into actionable improvements, mentor junior scientists, and contribute to the broader research community.

• 3+ years of building machine learning models for business application experience
• PhD, or Master’s degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or a related language
• Experience with neural deep learning methods and machine learning

• Experience with modeling tools such as R, scikit‑learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, etc.
• Experience with large‑scale distributed systems such as Hadoop, Spark, etc.

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 optional 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 (Use the "Apply for this Job" box below)..

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