Hiring: Principal PMT - Personalization ML Platform, Prime Video Personalization & Discovery Company: Prime Video & Amazon MGM Studios Location: Seattle, WA Job Posted Time: 2026-09-09 18:01:02 Target Skills & Keywords : Feature Store, GANs, LLM, Machine Learning, Move About the job Required Skills: •Prime Video is seeking a Principal Product Manager Technical to drive the vision, strategy, and execution of our Machine Learning platform and infrastructure, powering personalization, discovery, and customer and content intelligence at global scale. •In this role, you will own the strategy and roadmap for foundational platforms across Data, ML, and Measurement, enabling teams to rapidly build, experiment, and productionize machine learning solutions. •Your mission is to enable ML builders to move from idea to production faster by removing bottlenecks across the ML lifecycle from data ingestion and feature engineering to model training, deployment, and experimentation so teams can iterate faster while providing robust measurement capabilities that shorten iteration cycles. You will own the connection between platform capabilities and end-customer experience improvements, defining how infrastructure investments enabling Product teams to drive measurable gains in personalization quality, content discovery, and customer engagement metrics. •You will operate in highly complex domains including recommendation systems, real-time inference, large-scale distributed training, LLM infrastructure, and partner closely with engineering and science leaders to influence architecture, drive adoption, and deliver measurable business outcomes. •Key job responsibilities •Define and drive the multi-year vision and roadmap for ML platform and infrastructure, articulating how platform decisions directly translate to customer-facing personalization outcomes across discovery, content intelligence, and emerging GenAI experiences •Develop and own the data platform strategy, delivering clean, curated datasets that encode business logic and provide science teams with trusted, model-ready data foundations •Build end-to-end ML tooling and pipelines that enable ML builders to discover datasets, ideate modeling approaches, conduct research and experimentation, and seamlessly productionize models from prototype to production •Support large-scale model training, real-time inference, and compute optimization across CPU and GPU to ensure models perform efficiently at production scale •Define and evolve the feature store strategy, supporting both online and offline data serving while minimizing online/offline skew to ensure consistency between training and serving environments •Own the developer experience for ML builders by delivering self-service tools, reusable components, and standardized workflows that increase productivity, reduce operational overhead, and improve cost efficiency, scalability, and availability •Enhance the measurement platform to monitor model performance in production, track input and output metric alignment, and provide clear visibility into how platform capabilities contribute to customer-facing outcomes •Influence senior leadership and cross-functional stakeholders to align on platform strategy, investment priorities, and trade-offs •Drive adoption of platform capabilities across teams by ensuring solutions are intuitive, reliable, and measurably better than existing workflows •About The Team Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!