Applied Scientist, Prime Video Sports Personalization
Core
Develop state-of-the-art algorithms and end-to-end solutions for personalizing live sports content delivery and engagement on Prime Video.
Role type
Applied Scientist (Personalization, Information Retrieval, Recommender Systems)
Builds
Production pipelines for real-time sports content recommendations and complex recommender systems
Domain
Streaming media, Live sports, Machine Learning
Deliverable
production ML models
Required skills
Machine learning model development, Information retrieval, Recommender systems, Large Language Models (LLMs), Real-time model optimization, Temporal information retrieval, Algorithm design, Numerical optimization, Parallel and distributed computing, High-performance computing
Preferred skills
Top-tier conference publications, Novel algorithm invention, Large-scale ML infrastructure, Big data technologies (AWS, Hadoop, Spark), Technical writing, Thought leadership
Technologies
Java, C++, Python, AWS, Hadoop, Spark, Pig, Hive, LLMs
Responsibilities
Research, design, develop, and deploy algorithms into production pipelines; Tackle challenges in temporal information retrieval and real-time sports content recommendations; Drive publication of original work in top-tier conferences
Seniority
Senior, Research & Development