Multimodal Language Models | Field

Research scientist working on large-scale deep learning for speech translation, spoken language understanding, question answering, healthcare, and multimodal models.

Research scientist at Apple focused on natural language processing and machine learning.

Yann LeCun is Chief AI Scientist at Meta, Silver Professor at New York University, and a pioneer of modern deep learning and computer vision.

Research scientist on Apple Foundation Models whose work focuses on machine learning systems, multimodal foundation models, and AI agents.

Max Schwarzer is a reinforcement learning researcher whose work focuses on scaling and sample-efficient RL. He completed a PhD at Mila, later interned in Apple's machine learning research group, and was an author on Apple's MM1 multimodal pre-training report.

Associate Professor in Natural Language Processing at the University of Bergen whose work focuses on bias and fairness in NLP, information extraction, summarization, and under-resourced languages.

Jiahui Yu is a research scientist at Google DeepMind working on multimodal learning and large language models.

Danny Driess is a research scientist at Google DeepMind whose work focuses on general AI, robot learning, and multimodal foundation models.

Researcher and engineer working on machine learning, software, and hardware systems.

Sachin Kumar is a researcher at Apple and incoming assistant professor at UC San Diego. His work focuses on natural language processing, efficient and multilingual language models, and machine learning systems.

Associate professor of natural language processing at the University of Groningen and research scientist at Cohere Labs, with work spanning machine translation, multilingual models, and multimodal language understanding.

Assistant professor of computer science at the University of Chicago studying language generation, dialogue systems, and aligning models with human preferences.

Jitendra Malik is a computer vision and machine learning researcher at UC Berkeley whose public homepage and Google Scholar profile highlight work on image understanding, robotics, and foundation models.

Machine learning researcher at Apple Machine Learning Research working at the intersection of optimization, privacy, and security.

Machine learning engineer and researcher based in the San Francisco Bay Area whose interests include multilingual and multimodal machine learning, responsible AI, and applications in healthcare and education.

Teddy Karrer is a research scientist working on embodied AI, multimodal reasoning, and machine learning for interactive systems. His public profile highlights robotics, decision making, and intelligent agents.

Assistant Professor of Computer Science and Engineering at UC Santa Cruz working on multimodal learning, computer vision, and medical image analysis.

Research manager at NVIDIA working on large-scale distributed pretraining, synthetic data, multimodal LLMs, and computer vision.

Research scientist at Apple working on efficient and multilingual language modeling, speech and language systems, and large language models.

Andy Zeng is a Research Scientist at Google DeepMind. His public research interests include robot learning, computer vision, graphics, and personalized 3D content generation.

Senior research scientist at Apple working on large multimodal foundation models, with prior work on large language models at MosaicML.

Neil Houlsby works on adaptation of large language models, transfer learning, parameter-efficient fine-tuning, and inference efficiency.

Research scientist at Google DeepMind working on language, vision, action, and robotics; previously on the Google Brain team and a co-creator of the first text-to-image GAN.

Research scientist at Apple working at the intersection of natural language processing, machine learning, and AI, with a focus on building more intelligent, robust, and reliable systems.

Jianfeng Gao is a researcher in natural language processing and multimodal foundation models whose public homepage and Google Scholar profile highlight work on dialogue systems, retrieval, reasoning, and vision-language models.

Nicolas Heess is a research scientist at Google DeepMind whose work focuses on machine learning, reinforcement learning, and robotics.

Research scientist at Apple focused on state-of-the-art machine learning and computer vision methods.

Senior researcher at Apple working on large models, multimodal learning, and speech processing, according to his personal site.

Research scientist and engineer focused on multimodal and multilingual language models, with public work on translation, retrieval, and agent systems.

Research scientist at Google whose work spans computer vision, multimodal learning, and large embodied models, including PaLM-E.

Researcher focused on grounded language understanding, question answering, semantic parsing, and natural language inference.

Ishan Misra is a Research Scientist at Apple whose work spans computer vision, multimodal learning, and large foundation models. He has contributed to Apple Intelligence foundation model research.

Senior research scientist at Google DeepMind working on machine learning.

Principal research scientist at Google DeepMind and professor of computer science at McGill University.

Research scientist at Apple specializing in multilingual and multimodal generative models.

Montserrat Gonzalez Arenas is a research engineer at Google Research whose public work focuses on robot learning and mobile manipulation, including robotic table wiping, waste sorting, and RT-Trajectory for robot task generalization.

Research scientist at Apple Foundation Models working on large language models and multimodal systems; previously a research scientist at Google and Meta.

Research scientist and engineer at Apple working on foundation models for speech and language, with interests in explainability and interpretability.

Research scientist at NVIDIA working on multimodal AI, especially language and vision models.

Zhengfeng Lai is an AI/ML engineer at Apple working on generative AI and multimodal learning. He is also a PhD student at Cornell University whose interests include multimodal learning, model reasoning, and interpretability, and he has previously interned at Apple, Google, and Meta.

Senior Research Scientist at Google DeepMind working on Gemini, embodied AI, and multimodal foundation models for robotics and perception.

Research scientist at Apple Intelligence working on computer vision, machine learning, and natural language processing.

Distinguished scientist at Apple working on large language models and multimodal foundation models; previously held research roles at ByteDance AI Lab and MBZUAI.

Machine learning researcher at Apple focused on responsible and human-centered AI.

Researcher working on on-device and foundation language models, including Apple Intelligence models.

Research scientist at Apple working on large language models, vision-language models, and model scaling.

Researcher working on machine learning, vision and language, computer vision, diffusion, and generative AI.

Harsha Nori is a Senior Principal Researcher at Microsoft Research whose work focuses on machine learning, artificial intelligence, and healthcare applications.

Research scientist at Apple Foundation Models working on generative AI, large language models, and multimodal models.

Apple researcher whose publications include the Apple Intelligence Foundation Language Models technical report.

Research scientist at Apple working on machine learning and AI, previously at Google Brain and Stanford, and a co-author of the Apple Intelligence Foundation Language Models reports.

Apple researcher whose publications include the Apple Intelligence Foundation Language Models technical report.

Research scientist at Apple Foundation Models with interests in natural language processing, structured generation, controllable generation, and algorithmic efficiency.

Apple researcher whose publications include the Apple Intelligence Foundation Language Models technical report.

Wojciech Zaremba is an AI researcher and entrepreneur, and a co-founder of OpenAI.

Research scientist at Apple working on language and vision-language modeling, AI agents, and post-training.

Apple researcher whose publications include the Apple Intelligence Foundation Language Models technical report.

Machine learning researcher at Apple working on large multimodal foundation models, video generation, and vision-language systems.

Member of Technical Staff at Cohere Labs working on multilingual and multimodal language technologies.

Research scientist at Apple focused on computer vision, multimodal learning, and robotics.

Research scientist whose public OpenReview profile lists work on multimodal representation learning, speech synthesis, and personalized voice generation.

Computer vision and machine learning scientist at Apple whose work includes multimodal understanding and robotics, following earlier leadership roles at Google.

Apple researcher whose publications include the Apple Intelligence Foundation Language Models technical report.

Research scientist at NVIDIA with public publications on multimodal language models and visual instruction tuning, including NVLM, VILA, and Video2Flow.

Research scientist at Apple and adjunct professor at MIPT working in computer vision, image processing, and machine learning.

Vice President of AI Research and General Manager of AI Platforms at NVIDIA.

Senior staff research scientist at Google DeepMind and affiliated lecturer at Cambridge working on computer vision, machine learning, and computer graphics.

Daria Buchsbaum is a PhD student at Georgia Tech and a Research Scientist Intern at Google DeepMind.

Research scientist at Apple Foundation Models working on efficient training and multimodal language models.

Research scientist at Apple focusing on understanding and generating text and images.

AI researcher and deep learning theorist whose public work includes tensor programs and maximal update parameterization. He coauthored Apple's 2025 Apple Intelligence foundation language models technical report.

AI and machine learning engineer at Apple working on multimodal foundation models; previously worked at Snap and the University of Southern California.

Research scientist at Apple focused on computer vision, machine learning, and multimodal understanding.

Staff software engineer at Google focused on machine learning and systems.

Research scientist at Apple specializing in post-training, reinforcement learning, and AI agents.

Louis Borry is a PhD student at Google DeepMind working on embodied language models and grounded language understanding.

Research scientist at Google DeepMind focused on robotics and machine learning, especially reinforcement learning and language models.

Researcher working on machine learning, optimization, and sequential data.

Qiaozi Gao is a Stanford PhD student whose work spans vision and language, machine learning, and robotics, with research internships at Google and Google DeepMind.

Research scientist at NVIDIA working on multimodal language models and vision-language research, with public publications including NVLM, VILA, and Visual Role Play.

PhD student at UCLA and research intern at NVIDIA, working on multimodal reasoning, vision-language models, and embodied AI.

Sam Wiseman is an assistant professor of computer science at New York University whose research focuses on natural language processing and machine learning, including controllable generation, summarization, and learning from human feedback.

Apple researcher whose publications include the Apple Intelligence Foundation Language Models technical report and work on the MLX framework.

Machine learning researcher whose work spans neural networks and statistics, and a co-author of Apple's Foundation Language Models report.

Research scientist at NVIDIA working on AI agents, multimodal systems, and robotics, including the NVLM project.

Senior research scientist at Apple with public publications spanning speech, audio, and language modeling, including work on speech language models and MemoryLLM.

Apple researcher whose publications include the Apple Intelligence Foundation Language Models technical report.

Thomas Blankevoort is a Research Scientist at Google DeepMind whose work focuses on efficient neural networks and machine learning systems.

Researcher working on foundation language models and efficient inference, including Apple Intelligence models.

Distinguished scientist and managing director at Microsoft Research working on natural language processing and large language models.

Ruoming Pang

Yinfei Yang

Yann LeCun

Haoxuan You

Max Schwarzer

Samia Touileb

Jiahui Yu

Danny Driess

Awni Hannun

Sachin Kumar

Arianna Bisazza

Ari Holtzman

Jitendra Malik

Jonas Geiping

Munsina Sundaram

Teddy Karrer

Yuyin Zhou

Zhaowen Wang

Floris Weers

Andy Zeng

Brandon McKinzie

Neil Houlsby

Scott Reed

Angela Fan

Jianfeng Gao

Nicolas Heess

Peter Grasch

Zirui Wang

Raza Habib

Yusuke M. Asano

Aida Amini

Ishan Misra

Johnny Mao

Marc G. Bellemare

Masoud Alizadeh

Montserrat Gonzalez Arenas

Nan Du

Paria Hafezi

Thaddeus Culhane

Zhengfeng Lai

Fei Xia

Tom Gunter

Xiang Kong

Alex Beutel

Bing Ren

Bowen Zhang

Dhruti Shah

Harsha Nori

Jean-Philippe Fauconnier

Jin Xu

Lukas Haas

Ming Lei

Philipp Dufter

Raman Chopra

Tengyun Huang

Wojciech Zaremba

Xianzhi Du

Yash Jernite

Zhe Gan

Aditya Siddhant

Afshin Dehghan

Aleksei Timofeev

Alexander Toshev

Amin Jalali

Andy Yao

Anton Belyi

Caiming Xiong

Cengiz Oztireli

Daria Buchsbaum

Forrest Huang

Futang Peng

Greg Yang

Hong-You Chen

Hongyu He

Jose A. Arenas

Keen You

Louis Borry

Mikel Arza

Mingfei Gao

Qiaozi Gao