Jonathan Raiman is a Senior Research Scientist with 12 years of experience building large-scale AI systems, currently leading reinforcement learning efforts at NVIDIA to automate GPU circuit design and holding concurrent research roles at OpenAI. He brings a strong speech and NLP research pedigree from Baidu USA where he co-created Deep Voice 1–3, advanced Deep Speech 2, and developed one-shot learning and learning-to-search QA methods. Trained in autonomy and aeronautics at MIT and holding a PhD in computer science from Université Paris-Saclay, he combines theoretical depth with production-focused engineering. Based in Palo Alto, he excels at taking novel models from research prototypes to large-scale training runs, and has a demonstrated knack for applying RL to unconventional hardware design problems.
12 years of coding experience
2 years of employment as a software developer
Aeronautics & Astronautics, Autonomy, Masters, Aeronautics & Astronautics, Autonomy, Masters at Massachusetts Institute of Technology
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Université Paris-Saclay
Bachelor of Arts (BA), Mathematics and Physics, 3.65, Bachelor of Arts (BA), Mathematics and Physics, 3.65 at Pomona College
Python package for converting xml and epubs to text files
Contributions:12 commits, 1 PR, 4 pushes in 5 years 5 months
pythonxmlconvertingfb2text-files
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Jonathan Raiman - Senior Research Scientist at OpenAI