Senior Applied Scientist - GenAI, Trust and Store Integrity Science

Amazon has built a reputation for excellence with recent examples of being named the #1 most trusted company for customers. To deliver on this reputation for trust, Selling Partner Abuse Prevention team is tasked with identifying and preventing abuse for our customers and brand owners worldwide.
Selling Partner Fraud and Abuse Prevention is hiring an Applied Scientist who will research and develop innovative machine learning based approaches to predict the near-term future. We are working on advanced research and we support Patent and publishing papers. The Scientist must understand deeply about Machine Learning methods and love extracting, nurturing and transforming high volume of data into actionable business information and making it readily accessible to stakeholders.

Key job responsibilities
• Lead the research, design, and implementation of innovative AI solutions for selling partner risk assessment and management
• Drive the technical vision for applying AI to transform workforce operations in Trust and Store Integrity organization
• Develop novel approaches to automate and enhance risk analysis processes using state-of-the-art language models
•Partner with business stakeholders to identify high-impact opportunities for AI-driven transformation
• Mentor and guide junior scientists while fostering a culture of innovation
• Design and implement evaluation frameworks to measure the impact of AI solutions
• Ensure responsible AI development with focus on fairness, transparency, and ethical considerations

About the team
Trust and Store Integrity Science is a new org established in 2024. We are missioned to leverage the fast evolving AI advancements to transform how we prevent bad actors in our stores, across science, engineering, product and program management, and operations. Basic Qualifications: - PhD in computer science, machine learning, engineering, or related fields, or Master's degree
- 6+ years of building machine learning models or developing algorithms for business application experience
- PhD, or a Master's degree and experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms
- Experience building large-scale machine learning and AI solutions at Internet scale
- Experience in practical work applying ML to solve complex problems for large scale applications
- Experience scripting in modern programming languages, or experience with training and deploying machine learning systems to solve large-scale optimizations Preferred Qualifications: - Experience developing, deploying and managing AI products at scale
- PhD, or a Master's degree and experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience working closely with development and business teams to communicate problem impacts and to understand business requirements
- Experience across the domain of risk management & fraud

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.