One of the most profitable applications of ML/AI is the large-scale recommender systems. Whether it is e-commerce, ads targeting or ranking posts, recommender systems have become a big part of our lives. But whatever the application, the purpose of the recommender system is to suggest relevant items to millions of users at scale. The session will cover the principles and techniques used to build such recommender systems with case studies from video recommendation and NLP systems.