At Amazon, we believe scientific innovation is the cornerstone of being the world's most customer-centric company. The Perfect Order Experience (POE) AI team is at the forefront of this innovation, building scalable scientific solutions that ensure flawless customer experiences while empowering sellers and brands worldwide. As a part of our team, you'll be pioneering the development of agent-based intelligent systems that identify and prevent abuse and infringement, protecting millions of customers globally.

In this role, you'll have access to Amazon's vast computational resources and latest AI technologies, allowing you to push the boundaries of what's possible in LLM development. While solving complex real-world problems, you'll maintain your academic connections through publications and conference participations. Our team culture encourages both independent research and collaborative problem-solving, creating an environment where you can thrive professionally while making a significant impact on our customers. Working alongside talented scientists, economists and engineers, you'll have the freedom to innovate while seeing your solutions deployed at an unprecedented scale.

Key job responsibilities
1. Design and develop advanced AI systems using LLMs and machine learning for infringement and abuse prevention at scale.
2. Build automated AI solutions that emulate human decision-making capabilities.
3. Conduct data analysis and translate insights into practical ML solutions.
4. Collaborate with cross-functional teams to implement and scale solutions
5. Own end-to-end solution development from conception to production deployment

About the team
Here at Selling Partner Services, we embrace our differences. We are committed to furthering our culture of inclusion. We have 14 employee-led affinity groups, reaching 10,000+ employees in chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our DEI Ambassador Program. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Applied Scientist, Perfect Order Experience (POE) AI