Applied Scientist, Internal Audit

Are you passionate about data enjoy solving complex analytical problems leveraging industry leading agentic AI technologies to derive insight at scale - all in a challenging fast-paced environment We are seeking an Applied Scientist to accelerate the growth of Amazon Internal Audits Data Science & Risk Intelligence initiatives. The team builds ML and AI solutions that expand self-service data utilization by audit teams utilizing the right methods to derive deeper patterns and surface insights to gain holistic perspectives while amplifying potential risk mitigation.

Key job responsibilities
- Work with audit teams product managers engineers and more senior scientists to deliver machine learning and generative AI products that carry real degrees of ambiguity scale and complexity.
- Design build and evaluate agentic AI systems multi-agent workflows retrieval-augmented generation and tool-using agents that automate and augment audit work applying rigorous LLM-as-judge and human-aligned evaluation to measure and improve output quality.
- Apply statistical analysis and classical machine learning using SQL and scripting languages like Python/R over large datasets to develop insights and recommendations that strengthen internal audit.
- Architect secure scalable solutions on AWS machine learning and generative AI services (e.g. Bedrock AgentCore SageMaker) owning the full lifecycle from prototype through production deployment monitoring and iterative improvement working closely with auditors to understand their business needs.
- Build and maintain the teams production and experimentation infrastructure including deployment pipelines observability and tracing and evaluation harnesses.
- Advance applied research by exploring emerging techniques and sharing findings through internal and external publications talks and conferences.

A day in the life
As an Applied Scientist you will help shape and execute a product roadmap that connects risk to the business building AI products increasingly centered on large language models and agentic systems that make audit work more effective and efficient. Your work spans the full arc of applied science: framing ambiguous problems prototyping with the latest generative AI techniques building rigorous evaluations and deploying solutions in production. The ideal candidate pairs a strong foundation in data science and machine learning with a builders instinct for production architecture thrives on ambiguity and stays close to a fast-moving research frontier.

About the team
Internal Audits mission is to help our businesses improve controllership operational efficiency and customer experience.

- Masters degree in computer science mathematics statistics machine learning or equivalent quantitative field
- Experience programming in Java C Python or related language
- Experience with SQL and an RDBMS (e.g. Oracle) or Data Warehouse
- Experience researching about machine learning deep learning NLP computer vision data science
- Experience building applications with large language models (e.g. prompt engineering retrieval-augmented generation or agentic/tool-using workflows).

- Experience implementing algorithms using both toolkits and self-developed code
- PhD in Engineering Computer Science Machine Learning Operations Research Statistics or related fields
- Experience in solving business problems through machine learning data mining and statistical algorithms
- Experience implementing a cloud-based technology solution or experience architecting/operating solutions built on AWS
- Experience designing and running evaluation frameworks for generative AI (e.g. LLM-as-judge human-alignment measurement benchmarking output quality).
- A track record of applied-research output: publications conference talks or patents.

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 for more information. If the country/region youre applying in isnt 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 WA Seattle - 136000.00 - 184000.00 USD annually