Jialin Song is a senior research scientist in the NVIDIA Applied Deep Learning Research group, working on machine learning for hardware designs and large language models for code generation. Before joining NVIDIA, he received his PhD from Caltech where he worked on reinforcement learning and imitation learning for solving combinatorial optimization problems. He also researched Bayesian optimization for scientific applications for his thesis work at Caltech.