Justin Basilico, director of research and engineering at Netflix, discusses the evolution of the Netflix recommender system from rating prediction to deep learning. They talk about the misalignment of metrics, the use of history, content, and context data, and the challenges of personalized page construction. They also touch on RecSysOps, cultural aspects at Netflix, and the importance of feedback and team collaboration.