Applied Scientist, Linear Personalization Experience Team (LPEX)
Core
Design, develop, and deploy machine learning models for content recommendation, viewer engagement optimization, and real-time personalization for Prime Video's Linear TV experience.
Role type
Senior Applied Scientist (Recommendation Systems)
Builds
Production recommendation systems and personalization engines for hundreds of millions of Prime Video customers
Domain
Streaming media, Entertainment, Machine Learning
Deliverable
production ML models
Required skills
Machine learning lifecycle ownership, real-time system optimization, A/B and multivariate experimentation, distributed computing, algorithm design, data mining, numerical optimization
Preferred skills
Deep learning architecture design, model pruning, large-scale recommendation system delivery
Technologies
Java, C++, Python
Responsibilities
Design and deploy ML models for content recommendation and engagement optimization; Own the complete ML lifecycle from problem formulation to production deployment; Build and optimize recommendation systems with strict real-time latency requirements; Execute rigorous A/B and multivariate experiments to measure recommendation quality; Partner with software engineering teams to productionize ML models and define serving infrastructure requirements; Mentor scientists and engineers on scientific rigor and ML engineering best practices
Seniority
Senior, hands-on IC with mentorship responsibilities