Applied Scientist, Internal Audit | Amazon

Job Description

Company: Amazon

Position: Applied Scientist, Internal Audit

Employment Type: Full-Time

Location: Arlington, Virginia, United States

Salary: USD $142,800 – $193,200 per year + Sign-On Payments + Restricted Stock Units (RSUs) + Benefits

Department: Internal Audit

Job ID: 10535487

Amazon is seeking an Applied Scientist, Internal Audit to accelerate Data Science & Risk Intelligence initiatives within Amazon Internal Audit. This role focuses on developing machine learning, generative AI, and agentic AI solutions that enable audit teams to leverage data at scale, identify deeper patterns, surface insights, and strengthen risk mitigation.

About Amazon Internal Audit

Amazon Internal Audit’s mission is to help Amazon businesses improve controllership, operational efficiency, and customer experience. The team develops data science and risk intelligence solutions that support audit teams with advanced analytics, machine learning, and artificial intelligence. The team works across data science, engineering, product management, and audit functions to develop scalable technologies that improve the effectiveness and efficiency of internal audit.

Position Overview

The Applied Scientist will own ambiguous and high-impact machine learning and generative AI problems from problem framing through production deployment and measurable impact. The role combines deep machine learning expertise with production architecture, agentic AI systems, statistical analysis, and applied research.

Key Responsibilities

Machine Learning & Generative AI

• Partner with audit teams, product managers, engineers, and scientists to define and deliver machine learning and generative AI products.
• Own complex problems end-to-end from problem framing through measurable business impact.
• Design, build, and manage agentic AI systems including multi-agent workflows, retrieval-augmented generation, and tool-using agents.
• Develop rigorous evaluation approaches using LLM-as-judge and human-aligned evaluation methods.

Data Science & Analytics

• Apply statistical analysis and classical machine learning to large datasets using SQL and scripting languages such as Python and R.
• Develop insights and recommendations that strengthen internal audit capabilities.
• Use data science techniques to identify patterns and surface risk-related insights.

AWS & Production AI Infrastructure

• Architect secure and scalable solutions using AWS machine learning and generative AI services.
• Work with services including Amazon Bedrock, AgentCore, and SageMaker.
• Own the lifecycle of solutions from design through production deployment, monitoring, and iterative improvement.
• Develop and maintain deployment pipelines, observability and tracing systems, and experimentation environments.

Research & Technical Leadership

• Identify and pursue emerging techniques through applied research.
• Share research findings through publications, conference talks, journal clubs, and other forums.
• Mentor junior scientists and engineers.
• Review technical designs and code.
• Help shape product and technical roadmaps.

Required Qualifications

• 3+ years of experience building models for business applications.
• PhD, or Master’s degree with 4+ years of experience in Computer Science, Computer Engineering, Machine Learning, or a related field.
• Experience programming in Java, C++, Python, or a related language.
• Experience with algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing.
• Experience with Machine Learning and Large Language Model fundamentals, including architecture, training and inference lifecycles, and model execution optimization.
• Experience building complex software systems successfully delivered to customers.
• Experience architecting or operating solutions on AWS or implementing cloud-based technology solutions.

Preferred Qualifications

• Experience using Unix/Linux.
• Professional software development experience.
• Experience designing and running generative AI evaluation frameworks.
• Experience with LLM-as-judge, human-alignment measurement, and output quality benchmarking.
• Hands-on experience with agentic AI frameworks and generative AI services such as Amazon Bedrock, SageMaker, LangGraph, and Strands.
• Experience building and maintaining production ML/AI infrastructure, including deployment pipelines, observability, tracing, and experimentation environments.
• Track record of applied research through publications, conference talks, or patents.

Core Skills

• Applied Science
• Machine Learning
• Generative AI
• Large Language Models
• Agentic AI
• Python
• SQL
• Statistical Analysis
• Data Mining
• Machine Learning Infrastructure
• AWS
• Amazon Bedrock
• SageMaker
• LLM Evaluation
• Production AI Systems

Why Join Amazon?

• Work on high-impact machine learning and generative AI solutions for Internal Audit.
• Build agentic AI systems that improve audit effectiveness and efficiency.
• Work with advanced AWS machine learning and generative AI services.
• Own complex applied science problems from research through production deployment.
• Collaborate with audit, product, engineering, and science teams.
• Contribute to technical research and shape AI product and technology roadmaps.

Work Environment

This is a full-time position based in Arlington, Virginia. The role involves collaboration with audit teams, product managers, engineers, and scientists while working on complex machine learning, generative AI, and risk intelligence initiatives.

Benefits & Rewards

Amazon offers a comprehensive compensation package including a base salary ranging from USD $142,800 to $193,200 annually, sign-on payments, restricted stock units (RSUs), and employee benefits. Benefits include medical, dental, vision, prescription, Basic Life and AD&D insurance, supplemental life plan options, Employee Assistance Program, mental health support, Medical Advice Line, Flexible Spending Accounts, adoption and surrogacy reimbursement coverage, 401(k) matching, paid time off, and parental leave.

Equal Opportunity Employer

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Amazon’s inclusive culture supports employees in delivering results for customers. Workplace accommodations are available for individuals with disabilities throughout the application and hiring process.

Application Process

Qualified candidates are encouraged to apply through the official Amazon Jobs website.