Barret Zoph
First author of neural architecture search at Google Brain; earlier VP of Research (Post-Training) at OpenAI
Barret Zoph's homepage describes earlier roles as VP of Research (Post-Training) at OpenAI, where Zoph's team worked on alignment, tool use, evaluations, and the models shipped in ChatGPT and the API, and before that as a Staff Research Scientist at Google Brain working on large sparse language models and AutoML. With Quoc V. Le at Google Brain, Zoph wrote Neural Architecture Search with Reinforcement Learning (2016), and Zoph's homepage lists Switch Transformers and ST-MoE among Zoph's sparse-model papers. OpenAI's GPT-4o and o1 system cards credit Zoph as a post-training organization lead and in executive leadership, respectively.1234
Work
Neural architecture search (external site: arxiv.org)Published research
First author, with Quoc V. Le at Google Brain, of the 2016 paper that trains a recurrent network with reinforcement learning to generate neural network architectures; Zoph's homepage says this work was an impetus for Google's AutoML.21
OpenAI post-training (GPT-4o and o1) (external site: arxiv.org)Proprietary product
Credited as a post-training organization lead in the GPT-4o System Card (2024) and in executive leadership in the OpenAI o1 System Card (2024).34
Other documented roles
Roles the sources document but that are not confirmed as current.
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