Jack Goetz
Staff Research Scientist at Meta
Boston, Massachusetts, United States
Summary
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Senior🎓
Top SchoolJack Goetz is a Staff Research Scientist at Meta with a decade of experience building and deploying multimodal AI assistants for AR and VR hardware. He fine-tunes large language models, designs custom deep learning architectures for NLP, and owns parts of the training-to-production pipeline and runtime logic across languages and countries. His PhD in Statistics from the University of Michigan underpins a research-driven approach to active learning, sequential decision making, and privacy-preserving methods like federated learning. Jack combines theoretical rigor with pragmatic engineering—optimizing models for real-world constraints on edge devices. Based in Boston, he brings cross-disciplinary fluency between research and product teams, focusing on quality and feature expansion in production AI systems.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (PhD) Statistics, Doctor of Philosophy (PhD) Statistics at University of MichiganBachelor of Arts (B.A.) Mathematics, Bachelor of Arts (B.A.) Mathematics at Columbia UniversityGithub contributions (4)
jackrgoetz/Mondrian_Tree_AL
Feb 2018 - Feb 2019
Contributions:83 commits, 7 pushes, 2 comments in 11 months
jackrgoetz/git_tutorial
Mar 2017 - Mar 2017
Contributions:1 push, 1 branch in 1 day
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