Summary
Jack Langerman is a machine learning researcher with nine years’ experience building production-ready deep learning and 3D computer vision systems, now focused on mechanistic interpretability, alignment, and steerability at Apple. He has led applied research and engineering efforts from SLAM and sim-to-real generative methods at Nokia Bell Labs to end-to-end 3D reconstruction and scene understanding pipelines at HOVER, bridging prototype research to scalable products. Jack combines strong academic foundations in ML with hands-on systems engineering—shipping performant models, cloud tooling, and rapid prototypes that deploy in customer-facing demos. He also brings uncommon event-production and operations experience, having founded and run a 5,000-person festival, which informs his pragmatic leadership and cross-functional collaboration. Based in San Francisco, he favors data-driven deep learning solutions that are cleanly engineered for real-world impact.
9 years of coding experience
13 years of employment as a software developer
Computer Science (Machine Learning / Deep Learning), Computer Science (Machine Learning / Deep Learning) at NYU Tandon School of Engineering
Computer Science (Machine Learning / Deep Learning), Computer Science (Machine Learning / Deep Learning) at New York University
Computer Science, Computer Science at New York University - Polytechnic School of Engineering