OpenAI

Amanda Askell is a philosopher and AI alignment researcher at Anthropic. Her personal site says she previously worked as a research scientist on the policy team at OpenAI.

Research Scientist at OpenAI focused on reasoning and agents. Previously at Google Brain, he worked on T5X, PaLM, Flan-PaLM, and Flan-T5, and he earned a PhD at MIT.

Researcher at OpenAI. He recently completed a PhD at UC Berkeley's BAIR lab, where he worked on machine learning for robotics, offline reinforcement learning, and self-supervised reinforcement learning.

Juntang Zhuang leads pretraining at xAI and previously worked at OpenAI. His homepage highlights Grok pretraining work and contributions to GPT-4o, GPT-4 Turbo long-context, DALL-E 3, and OpenAI embeddings.

AI researcher who co-created Sora at OpenAI and invented InstructPix2Pix during his PhD at Berkeley AI Research.

Researcher and engineer working on artificial general intelligence; his public experience page lists him as a Member of Technical Staff at OpenAI, after roles at Google/X and Vicarious.

OpenAI researcher whose work spans alignment, machine learning, complexity science, open-ended evolution, and artificial life.

Engineer and product leader who worked on OpenAI's Applied AI team and now advises startups on AI products. He writes publicly about agents, retrieval, and evaluation on his personal site.

Research Principal at Meta Superintelligence Labs. He previously led the strategic explorations team at OpenAI and is known for foundational work on score-based diffusion models.

Researcher at Thinking Machines, formerly at OpenAI, working on real-time multimodal systems across language, vision, and voice.

Research scientist at OpenAI working on AI agents, large models, and reinforcement learning. Previously worked as an applied scientist at Uber and completed a PhD in computer science at ENS Paris-Saclay under Marc Schoenauer and Olivier Teytaud.

Xin Hu is a Member of Technical Staff at OpenAI focused on privacy and security. Xin previously held cybersecurity and machine learning roles at Robinhood, Pinterest, IBM Research, and Intel, and earned a PhD in Computer Science and Engineering from the University of Michigan.

Shantanu Jain has worked on language models at OpenAI since 2020, focusing on training data and infrastructure. His homepage also highlights work in Python's open-source and static type-checking ecosystems.

Joshua (Josh) Achiam is Chief Futurist at OpenAI. He joined OpenAI in 2017 as a research scientist and has worked on AI safety research and operations, AI impacts research, and educational resources (including Spinning Up in Deep RL).

Research scientist at OpenAI working on intelligent agents, computer vision, natural language processing, and robotics; he previously completed a PhD in computer science at Penn State.

Researcher working on machine learning systems and infrastructure at OpenAI. He earned his PhD from UCLA.

Research scientist at OpenAI whose public profiles describe work on generative AI and reinforcement learning, after PhD study at the University of Cambridge.

Research scientist at Google DeepMind working on Gemini. He previously worked at Meta, OpenAI, and Google Brain, and earned a PhD from UMass Amherst.

Research scientist at OpenAI whose public profiles highlight multi-agent alignment, scalable training, and reinforcement learning.

AI researcher and former OpenAI scientist who became chief scientist of Meta Superintelligence Labs in July 2025; public academic sources also show earlier Stanford and Tsinghua training.

Yufei Guo is an assistant professor in the UCLA Computer Science Department. His public profiles note prior work as a research scientist at OpenAI and research interests in AI agents, reinforcement learning, and large language models.

Works on large language model interpretability at Anthropic; previously worked on scaling laws at OpenAI and ML engineering at Beehive AI, and completed a Ph.D. in physics at Stanford.

David Dohan is a computer scientist at OpenAI studying scalable alignment of language models and generally intelligent reasoning systems. His personal site also notes prior work at Google Brain on foundation model programs, code generation, protein engineering, and scientific reasoning.

Alec Radford is a researcher and a co-author of the GPT-4 Technical Report. His GitHub profile links to his personal website at newmu.github.io.

Amanda Askell

Hyung Won Chung

Ashvin Nair

Juntang Zhuang

Tim Brooks

David Mély

Joost Huizinga

Shyamal Anadkat

Yang Song

Rowan Zellers

Adrien Ecoffet

Xin Hu

Shantanu Jain

Josh Achiam

Tao Xu

Tomer Kaftan

Raphael Ho

Arvind Neelakantan

Jerry Tworek

Shengjia Zhao

Yufei Guo

Tom Henighan

David Dohan

Alec Radford