Research Scientist, ML Efficiency, Google Research

Advance algorithms sampling techniques large scale optimization; Develop model compression knowledge distillation quantization strategies; Improve model deployment pipeline pretraining instruction tuning reinforcement learning; Innovate large language model architectures computation efficiency generalization; Optimize inference kernels and inference engines; Optimize latency memory bandwidth workloads;