Personal Information
Organization / Workplace
San Francisco Bay Area United States
Occupation
Research/Engineering Director at Netflix - Machine Learning and Recommendation Systems
Industry
Technology / Software / Internet
Website
www.netflix.com
About
Leading machine learning researchers and engineers to solve hard, important problems. Balancing research, software engineering, management, and vision. Doing end-to-end machine learning: creating new ideas, designing algorithms running experiments, analyzing the data, deploying in real applications, and building next-generation machine learning infrastructure to make it seamless. Currently focused on innovating the Netflix homepage through better recommendations and personalization to increase our members joy.
Specialties: Machine Learning, Personalization, Recommender Systems, Deep Learning, Collaborative Filtering, Information Retrieval, Text Analysis, Artificial Intelligence
Tags
personalization
netflix
machine learning
recommender systems
recommendations
large scale
collaborative filtering
contextual bandits
software engineering
distributed systems
page generation
metrics
reinforcement learning
deep learning
online learning
artwork personalization
causality
user experience
experience personalization
fairness
ranking
off policy evaluation
multi-task learning
multi armed bandits
failure injection
reliability
time
future
global recommendations
spark
design patterns
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