Sr. Mgr., ML Infrastructure, PV Personalization and Discovery

Basic Qualifications

• 10+ years of engineering experience
• 5+ years of engineering team management experience
• 10+ years of planning, designing, developing and delivering consumer software experience
• Experience managing multiple concurrent programs, projects and development teams in an Agile environment
• Experience partnering with product or program management teams
• Hands-on experience with machine learning infrastructure, retrieval/recommendation systems, large-language model and/or generative AI, as well as partnering with applied science teams

Preferred Qualifications

• Experience designing and developing large scale, high-traffic applications
• Bachelor's degree in computer science, computer engineering, or related technical field
• Experience with AWS products and services

Technical Expertise

Your day will involve partnering with scientists and product managers to streamline the model development lifecycle from research to production, building ML infrastructure and establishing MLOps practices that enables rapid experimentation and deployment of AI/ML models. You'll collaborate with cross-functional teams, including product managers, data scientists and applied scientists.

Responsibilities

• Lead multiple engineering teams to define the vision, strategy, and execution plan for ML infrastructure stack and deliver highly extensible systems that fuel personalized discovery at global scale
• Architect infrastructure that dramatically improves the agility, usability, and extensibility of our ML solutions
• Ensure these AI-driven solutions are scalable, reliable, and responsible, while continuously innovating to deliver delightful customer experiences

About the Role

The Personalization and Discovery team (PVPD) plays a vital role in connecting audiences with the compelling stories and content on Prime Video. Our mission is to foster long-lasting relationships between viewers and the service, ensuring they keep coming back for more. Our work combines the art of curation and personalization with sophisticated data science and machine learning algorithms. We shape the Prime Video experience through personalized recommendations powered by advanced relevance models, and deep insights into viewer behavior.