Domain Specific Deep Learning Questions

Deep expertise in a specific application area of machine learning such as natural language processing, computer vision, or recommendation systems. Candidates should know core model architectures, common data modalities and preprocessing pipelines, evaluation metrics and benchmarks, domain specific training and fine tuning strategies, transfer learning and domain adaptation techniques, typical engineering trade offs for accuracy, latency, and interpretability, and recent advances and open challenges in the chosen domain.