Seattle, WA, US
7 hours ago
Principal Applied Scientist - Generative AI, Trust and Store Integrity Science
As we strive to be Earth's most customer-centric company, Amazon has reinvented how hundreds of millions of people shop online – providing customers with the opportunity to find and discover virtually anything they want to buy and providing millions of sellers with a platform for growing successful businesses. We are seeking an exceptional Principal Applied Scientist to lead the development and implementation of advanced AI solutions that will transform how we prevent bad actors from operating in our store and enable Selling Partners to start and grow their business without fear of disruption, so that customers and Selling Partners across the globe trust us and have confidence in the integrity of Amazon’s store.

This role will focus on leveraging large language models and other generative AI technologies to enhance decision-making processes, automate complex risk assessment tasks, and improve operational efficiency in selling partner risk management.





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.
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