Joseph Sieger

PyTorch has evolved from a research-focused deep learning framework at Meta into the backbone of modern AI development. In this talk, Joseph shares insights from his experience building AI infrastructure at Meta and supporting the systems that power today’s most influential tools. We explore PyTorch’s journey to becoming the standard for training and deploying large-scale systems, including code generation tools like GitHub Copilot, Claude Code, and OpenAI Codex. These frameworks also support modern AI environments like Cursor and assistants like ChatGPT and Claude. Attendees will gain a deep understanding of the engineering decisions, infrastructure, and open-source collaboration required to scale these systems. Discover how PyTorch became the essential framework behind the AI-assisted software development landscape, enabling the tools that developers use to write code every day.