Ming Ye

About Ming Ye

I am Vice President and General Manager of Prime Video Personalization & Discovery, where I lead an organization of exceptional product, engineering, and applied science talent. Together, we are reimagining how hundreds of millions of customers discover and engage with video—building deeply personalized, intelligent experiences that shape the future of entertainment.Over the past 20+ years, I’ve operated at the intersection of AI/ML, large-scale consumer products, and business transformation. My experience spans recommendations, search, AI assistants, monetization, and computer vision—always with a focus on turning cutting-edge technology into durable, high-impact platforms used at global scale.At my core, I’m a builder and problem solver. I’m energized by ambiguous, high-stakes challenges and by creating systems—technical, organizational, and cultural—that deliver outsized customer and business outcomes. I care deeply about results, but equally about how we achieve them.I believe the best work happens on teams of missionaries: people who are intellectually curious, customer-obsessed, and committed to learning and growing together. Building and scaling such teams—and watching them thrive—is the most meaningful part of my work.

Experience

1. Vice President & General Manager, Prime Video Personalization & Discovery

   Amazon

   Aug 2024 — Present · Seattle, WA, US

   I lead Prime Video’s global discovery and personalization platform, building large-scale ML and GenAI systems that directly drive customer engagement, retention, and content economics across every product surface. I build and lead a 400+ person organization spanning applied science, ML engineering, product, and platform infrastructure.Our teams design, deploy, and operate production systems for recommendations, search, AI-driven assistants, growth and marketing technology, and real-time experience personalization—connecting customer intent to Prime Video’s expanding catalog of originals, live sports, licensed content, and emerging formats across subscriptions, channels, TVOD, and ad-supported experiences in 240+ countries.My focus is translating advances in ML and GenAI into durable, measurable customer and business impact: designing platforms that solve constrained, multi-objective optimization problems at global scale, and partnering closely with senior leadership to align customer experience, content strategy, and long-term platform growth.

Education

• University of Washington

  PhD, Electrical Engineering (Computer Vision)