# Josh Tobin

> Josh Tobin is a machine learning infrastructure pioneer who spent three years as a research scientist at OpenAI - contributing to the famous Rubik's cube robot hand - before earning his PhD from UC Berkeley under Pieter Abbeel. He co-founded Gantry, an ML monitoring and continual learning startup that raised $28.3M, and created Full Stack Deep Learning, the first course focused on production ML engineering. His domain randomization technique, which transfers neural networks trained in simulation to the real world, has been cited over 600 times and reshaped how robotics teams build perception systems. He runs a newsletter focused on ML infrastructure and ops.

- **Role:** Co-Founder and CEO at Gantry (deadpooled); ML infrastructure educator and newsletter author
- **Organizations:** Gantry, Full Stack Deep Learning, OpenAI, UC Berkeley
- **Nationality:** American
- **Education:** PhD in Computer Science, UC Berkeley, Management Consultant (pre-PhD), McKinsey & Company
- **Known for:** Domain Randomization paper (2017) cited 600+ times - pioneered sim-to-real transfer for deep neural networks, Co-created Full Stack Deep Learning, the first production-focused ML engineering course, Raised $28.3M for Gantry from Amplify, Coatue, and notable angels including Greg Brockman

## Career timeline

- **pre-2015** — Management consultant at McKinsey & Company
- **2015** — Started PhD at UC Berkeley under Pieter Abbeel
- **2015-2018** — Research Scientist at OpenAI (concurrent with PhD)
- **2017** — Published Domain Randomization paper (arXiv:1703.06907), now cited 600+ times
- **2018** — Co-authored Learning Dexterous In-Hand Manipulation - the Rubik's cube robot hand project at OpenAI
- **2019** — Completed PhD at UC Berkeley
- **2019** — Co-created Full Stack Deep Learning course at UC Berkeley
- **2020** — Co-founded Gantry with Vicki Cheung to solve ML model monitoring and continual learning
- **2022** — Gantry raised $28.3M ($4.4M seed + $23.9M Series A led by Amplify and Coatue)
- **2022** — Relaunched Full Stack Deep Learning focused on building ML-powered products; created LLM bootcamp
- **2024** — Spoke at Databricks Data + AI Summit 2024

## Achievements

- Domain Randomization paper (2017) cited 600+ times - pioneered sim-to-real transfer for deep neural networks
- Co-created Full Stack Deep Learning, the first production-focused ML engineering course
- Raised $28.3M for Gantry from Amplify, Coatue, and notable angels including Greg Brockman
- Contributed to OpenAI's Rubik's cube robot hand dexterous manipulation project
- Featured speaker at Stanford MLSys Seminar, Databricks Data + AI Summit 2024
- Built ML monitoring platform used by production AI teams across industries
- Authored influential guide on troubleshooting deep neural networks

## Latest updates

- **2024-06** — Spoke at Databricks Data + AI Summit 2024 on ML infrastructure
- **2022-06** — Gantry launched out of stealth with $28.3M in funding
- **2022-09** — Full Stack Deep Learning 2022 cohort launched with LLM-focused bootcamp

## Links

- Website: http://josh-tobin.com/
- LinkedIn: https://www.linkedin.com/in/josh-tobin-4b3b10a9/
- Twitter/X: https://twitter.com/josh_tobin_
- GitHub: https://github.com/josh-tobin
- Instagram: https://www.instagram.com/joshingtobin/

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Profile page: https://yespress.io/josh-tobin
Published by YesPress — https://yespress.io
Last updated: 2026-04-21