Senior Applied Scientist, Linear Personalization Experience Team (LPEX)
Core
Define and drive the science strategy for Linear TV personalization, translating research advances into measurable business and customer experience outcomes for Prime Video.
Role type
Senior Applied Scientist (Linear Personalization)
Builds
AI-powered personalization and recommendation systems for linear TV content on Prime Video
Domain
Streaming media, entertainment, machine learning
Deliverable
production ML models
Required skills
PhD or Master's with 6+ years applied research, 5+ years building ML models for business, Java/C++/Python programming, neural deep learning methods, machine learning lifecycle ownership, A/B and multivariate experimentation, distributed systems architecture
Preferred skills
R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Hadoop, AWS services (S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, EC2), statistical methods (A/B Testing, Regression), model pruning and optimization
Technologies
Java, C++, Python, R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Hadoop, Spark, AWS S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, EC2
Responsibilities
Define and drive the science strategy and multi-year roadmap for Linear TV personalization; Design, develop, and deploy machine learning models for content recommendation and viewer engagement; Own the complete ML lifecycle from problem formulation to production deployment; Build and optimize recommendation systems with strict real-time latency requirements; Design and execute rigorous A/B and multivariate experiments; Partner with software engineering teams to productionize ML models; Publish research findings and contribute to the scientific community; Mentor scientists and engineers on the team
Seniority
Senior, hands-on IC with strategy ownership