Summary
Liutong Zhou is a machine learning engineer with 10 years of experience specializing in foundation model architectures, large-scale distributed training, training recipes, and agent RL. Currently a Member of Technical Staff on Cohere’s Foundation Models team after building LLM training frameworks, personalized recommendation systems, and agent prototypes at Apple, she has deep hands-on experience from pretraining to production. Her background spans applied research and engineering roles at AWS, WorkFusion, and academic projects at Columbia, demonstrating strength in scaling models and reducing data needs via weak supervision. Based in New York, she combines rigorous academic training from Columbia and Tsinghua with practical wins like improving OCR and sequence-model recommendations for native services—an ability to bridge research innovations into customer-facing systems.
10 years of coding experience
8 years of employment as a software developer
Master of Science - MS Data Science, Master of Science - MS Data Science at Columbia University
Bachelor's degree Engineering, Bachelor's degree Engineering at Tsinghua University