
Head of AI Resilience at the OpenAI Foundation
An OpenAI co-founder whose work spans neural networks, robotic manipulation, coding models, and AI resilience.
Wojciech Zaremba is a Polish computer scientist whose career has combined deep-learning research with the development of practical AI systems. He studied mathematics and computer science at the University of Warsaw and earned his doctorate at New York University in 2016. His doctoral work was supervised by Yann LeCun and Rob Fergus.
Zaremba was part of OpenAI's founding team in 2015. His earlier research included recurrent-network regularization and the study of adversarial examples, connecting methods for improving model performance with questions about their limitations. These projects contributed to the technical background from which he moved into broader research leadership.
At OpenAI, he led robotics work that included a system for solving a Rubik's Cube with a robotic hand. The project investigated whether policies trained largely in simulation could transfer to a physical machine. He later worked on language and coding systems, including efforts associated with Codex and GitHub Copilot.
In 2026, OpenAI announced that Zaremba would lead AI resilience work at the OpenAI Foundation. His public interests also include ways to gather democratic input about AI behavior and governance. His career therefore spans both the engineering challenges of making learned systems work in difficult environments and the institutional questions raised by their increasing capabilities.
Named among the initial technical team in OpenAI’s founding announcement.
Investigated regularization methods for improving the training of recurrent neural networks.
Led the robotics effort associated with learning dexterous manipulation and solving a Rubik’s Cube.