Matt Deitke is an AI researcher and engineer with eight years of experience building scalable research systems and production-ready infrastructure from San Francisco. Currently at Meta’s Superintelligence Lab after co-founding an AI startup, he brings deep research-to-engineering expertise honed during a multi-year tenure at the Allen Institute for AI and hands-on contributions to high-profile open-source projects like AI2-THOR. His work spans backend systems, simulation platforms, and agent pathfinding and camera subsystems—skills that bridge core research code and robust infrastructure. Pursuing a PhD in Computer Science at the University of Washington, he combines rigorous academic training with entrepreneurial instincts and a track record of shipping reliable, extensible tooling for visual AI.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Washington
Contributions:13 releases, 183 reviews, 1023 commits in 3 years
Contributions summary:Matt primarily contributed to the core functionality of the ai2thor platform, refactoring the initialization methods to consolidate starting and resetting functions. They also introduced and modified several components related to the agent's actions, including the ability to perform pathfinding. Furthermore, the user made adjustments to the project's infrastructure, and they implemented features such as the camera's settings.
🌎 The Website for the Embodied AI Workshop at CVPR
Contributions:1 review, 219 commits, 14 PRs in 2 years 4 months
gatsbyworkshopembodied-aicvprscss
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