Applied Scientist, Partner Experience Engineering

Prime Video is seeking an Applied Scientist to join their Partner Experience Engineering team, focusing on revolutionizing entertainment through advanced machine learning and AI technologies. This role sits at the intersection of cutting-edge technology and entertainment, working on systems that enable content management, monetization, and analytics for thousands of Prime Video's third-party partners including major Hollywood Studios and content creators.

The position offers a unique opportunity to shape the future of entertainment as Prime Video transitions from being a prime subscriber benefit to becoming the world's premiere entertainment destination. You'll be pioneering the application of cutting-edge ML techniques and Generative AI capabilities that will significantly impact the experience and efficiency of both partners and customers worldwide.

As an Applied Scientist, you'll work directly with senior technical and science leaders to create customer-impacting products using the latest research. The role requires strong problem-solving abilities, excellent people skills, and the capacity to make high-judgment trade-offs. You'll be responsible for inventing and implementing solutions while maintaining simple, resilient architectures.

The team operates within Prime Video's Partner Experience organization, building systems that enable best-in-class content management, monetization, and analytics capabilities for tens of thousands of partners. This is a high-impact, high-visibility role where you'll have the opportunity to experiment with new possibilities, take risks, and collaborate with remarkable people.

The position offers competitive compensation ranging from $136,000 to $223,400 per year, depending on location, plus equity and comprehensive benefits. You'll be part of a fast-paced, innovative team working on projects that directly influence how millions of customers consume entertainment content.

This role is perfect for someone who combines strong technical expertise in machine learning with a passion for entertainment and content delivery systems. You'll need to bring diverse perspectives and ideas while maintaining Amazon's high bar for technical excellence and customer obsession.