Code Language Models | Field

Research scientist focused on machine learning and natural language understanding, with work spanning machine translation, semantic parsing, and large-scale language modeling.

Junyang Lin (Justin Lin) is a researcher and open-source maintainer known for the Qwen family of models. His public profiles list interests in LLMs, AI agents, multimodal learning, long-horizon reasoning, world models, and reinforcement learning; multiple March 2026 news reports said he stepped down from the Qwen tech lead role.

Senior algorithm expert at Alibaba Group working on large language models, multimodal large language models, and diffusion models.

Researcher at DeepSeek whose public homepage describes work on DeepSeek R1, V1, V2, V3, Math, Coder, and mixture-of-experts systems.

DeepSeek researcher focused on NLP, code intelligence, and LLM reasoning, with public work spanning DeepSeek-Coder, DeepSeekMath, DeepSeek-V2, DeepSeek-V3, and DeepSeek-R1.

Xinyun Chen is a machine learning researcher at Meta FAIR. Her work spans large language models, code generation, mathematical reasoning, and efficient inference.

Research scientist and engineer working on AI and machine learning.

Research scientist focused on foundation models and multimodal large language models; his homepage notes earlier work at DeepSeek AI and current research at the University of Southern California.

DeepSeek team member and co-author of the DeepSeek-V3, DeepSeek-V2, and DeepSeek LLM technical reports.

Research scientist at Meta in New York City and research advisor at the UCLA NLP group; previously completed a PhD in computer science at UCLA.

Armand Joulin is a researcher and the cofounder and chief scientist of Mistral AI. Public arXiv records also list him as an author of LLaMA: Open and Efficient Foundation Language Models.

PhD student at The Hong Kong University of Science and Technology (Guangzhou) whose research interests include large language models, vision-language models, AI agents, and multimodal retrieval.

Member of Technical Staff at Google DeepMind working on machine learning, natural language processing, and large language models.

Distinguished Scientist at Google Research and one of the inventors of the transformer architecture; his work also includes language models, speech recognition, and multi-agent reinforcement learning.

Research scientist at Meta working on AI agents, language, and reinforcement learning.

Kevin Lin is a software engineer at Google DeepMind based in New York City. His public homepage highlights work on machine learning systems, inference, reasoning, and large language models.

Research scientist at Google DeepMind working on efficient and effective language model post-training. His public homepage notes interests in model architecture, post-training, and reasoning, and lists him as based in New York City.

Researcher on Alibaba's Qwen team focused on large language models and NLP, with public research profiles listing a Nankai University background.

Generative AI Research Scientist at Meta and founder of Baobab AI Labs, with work spanning multilingual models, open-source LLMs, machine translation, and story generation.

Yu Wu is a researcher at DeepSeek AI and head of its LLM Alignment Team. His public homepage highlights work on reinforcement learning and alignment for the DeepSeek model family, including DeepSeek-V3, DeepSeek-R1, and DeepSeekMath, and notes prior work at Microsoft Research Asia.

Edouard Grave is a machine learning researcher whose public work spans representation learning, natural language processing, and large language models.

Research scientist in Tongyi Lab whose official profile highlights post-training and multimodal large language models.

Eric Hambro is a machine learning researcher and entrepreneur whose prior work includes contributions at Meta AI and the LLaMA project.

Mike Lewis is a natural language processing researcher whose public work includes multimodal language modeling and large-scale pretraining.

Research scientist at Google DeepMind whose interests span code generation, natural language processing, and generative AI.

Research intern at DeepSeek and machine learning researcher working on efficient large language models, reinforcement learning, and AI coding systems.

Stefano Ermon is a Stanford University professor whose research spans machine learning, generative modeling, and AI for science.

Chief AI scientist at Mistral AI and co-founder of Kyutai. Previously worked on large language models and machine translation at Meta and earned a PhD in computer science at Sorbonne University and Inria Paris.

Member of Technical Staff at DeepSeek.

Research scientist at DeepSeek with public GitHub work on language models and AI systems.

Research scientist at DeepSeek with public GitHub projects on AI systems.

Research scientist in Tongyi Lab whose official profile highlights work on efficient reinforcement learning, generalization, inference-time scaling, and reasoning for large language models.

Research scientist at Google DeepMind focused on long-context and memory-augmented models. His public profile describes work on architectures and algorithms that help models reason over real-world data.

Research scientist at Google DeepMind in Mountain View working on machine learning, reinforcement learning, and robotics.

Research scientist at Meta GenAI in Menlo Park working on foundation models, language generation, and evaluation.

Qwen researcher and co-lead whose work focuses on pretraining and post-training, multimodal models, agent systems, and large-scale model infrastructure.

Research Director at Google working on machine learning, production systems, and sociotechnical AI.

Research scientist at Meta working on large language models and coding assistants. He previously worked on pre-training language models and neural machine translation and completed a PhD in natural language processing at Sorbonne University.

Research scientist at Meta whose work focuses on efficient large language models and multilingual NLP.

VP at Google DeepMind working on deep learning, computer vision, and language understanding.

Google DeepMind researcher working on machine learning and language models.

Nikita Botev is a research scientist at Google DeepMind. His public homepage highlights work in machine learning, generative modeling, and large-scale AI systems.

Piero Molino is a software engineer and researcher working on machine learning systems, distributed systems, and data management for large-scale AI.

Taylor Berg-Kirkpatrick is an associate professor of computer science at UCLA whose research focuses on natural language processing and machine learning. Public sources also list him as a coauthor of CodeGemma.

Radu Soricut

Junyang Lin

Shuai Bai

Runxin Xu

Daya Guo

Xinyun Chen

Jonas Gehring

Qihao Zhu

Dejian Yang

Zeyu Cui

Armand Joulin

Jinze Bai

Yifeng Lu

Noam Shazeer

Xavier Martinet

Kevin Lin

Vinh Quang Tran

Kai Dang

Angela Fan

Y. Wu

Edouard Grave

Xiaodong Deng

Eric Hambro

Mike Lewis

Yash Katariya

Zhenkai Zhu

Stefano Ermon

Guillaume Lample

Junxiao Song

Haowei Zhang

Peiyi Wang

Wenbin Ge

Donald W. McFadden

Andrew M. Dai

Aurelien Rodriguez

Chang Zhou

D. Sculley

Baptiste Rozière

Naman Goyal

Quoc V. Le

Alexandre Barge

Nikita Botev

Piero Molino

Taylor Berg-Kirkpatrick