Summary
Tomasz Malisiewicz is a research scientist manager at Meta with 15+ years of deep expertise applying machine learning to computer vision, SLAM, and robotics, spanning roles from startups to MIT and industry leaders like Magic Leap and Amazon Robotics AI. He combines a strong academic pedigree—PhD in Robotics from Carnegie Mellon and a CSAIL postdoc—with hands-on product and engineering experience building depth sensing, large-scale synthetic data pipelines, and end-to-end deep networks for AR and mobile robotics. Tomasz is known for practical advances in object recognition and image segmentation (his PhD work introduced Exemplar-SVM ideas) and for translating research into deployable systems. He also runs a well-read computer vision blog and curates cutting-edge research on Twitter, reflecting a commitment to teaching and community-facing communication. An unconventional strength is his blend of physics and computer science training, which helps him reason about geometric and optimization challenges in vision systems.
15 years of coding experience
16 years of employment as a software developer
PostDoc, Computer Science and Artificial Intelligence, PostDoc, Computer Science and Artificial Intelligence at Massachusetts Institute of Technology
BS, Computer Science & Physics, 4.0, BS, Computer Science & Physics, 4.0 at Rensselaer Polytechnic Institute
PhD, Robotics, PhD, Robotics at Carnegie Mellon University
English, Polish, Spanish