Job Description

Amazon is seeking an Applied Scientist for the Selling Partner Fraud and Abuse Prevention team to develop machine learning approaches for risk assessment and management. The role involves leading innovative AI solutions, mentoring junior scientists, and ensuring responsible AI development.

Requirements

4+ years of applied research experience
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 related language
Experience with neural deep learning methods and machine learning
Deep expertise in computer vision, natural language processing and generative AI technologies

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

Benefits

Employees at Amazon are often offered comprehensive health benefits—including multiple medical plan options (no pre-existing condition exclusions, 100% covered in-network preventive care), dental and vision plans, a 24/7 medical advice line from day one, expert second-opinion services, and broad mental-health support with several free counseling sessions (including pediatric). Financial wellness typically includes a 401(k) with company match (up to 2%), Restricted Stock Units (equity), FSAs, an emergency savings program, product and partner discounts, and even college-savings and home-purchase programs. Overall, the package is designed to support employees and their families’ health, finances, and day-to-day life.

Is this job posting expired or no longer available?