Jeremy Hintz is an engineering leader at Meta, specializing in AI infrastructure and machine learning research. He leads teams of engineers and researchers working on improving the efficiency and reducing the cost of AI model inference in large-scale systems.
In his work, Jeremy focuses on optimizing computational resources, AI system performance, and enhancing the cost-effectiveness of AI implementation. He believes that reducing costs and increasing the accessibility of AI technologies allow companies to achieve greater returns on investment and people to use technologies more effectively in everyday life.
As an educator, Jeremy emphasizes the fundamental principles of AI optimization that remain relevant regardless of the development of models, tools, and hardware. His approach combines a deep understanding of technologies with practical methods for enhancing performance, reducing costs, and maximizing the return on investment in AI infrastructure.