Amazon

Applied scientist at Amazon focused on natural language and speech processing, machine learning, and multimodal learning.

Senior applied scientist at Amazon working on large language models, multimodal AI, and efficient deep learning.

Senior research scientist at AWS AI Labs and professor at the University of Edinburgh whose work spans machine translation and multilingual language technologies.

Researcher whose public profiles include Amazon Science and USC ISI; his work spans dialogue systems, temporal reasoning, and document retrieval.

Research scientist at Amazon AGI and assistant professor at Yale School of Medicine whose work focuses on diffusion models, equivariant deep learning, and generative models for molecules and proteins.

Research scientist at Amazon AGI.

Senior applied scientist on the Amazon AGI team working on multimodal generative AI, speech recognition, and spoken language understanding, and a co-author of the Amazon Nova Sonic technical report.

Research scientist at Amazon AGI and former Stanford University PhD student.

Distinguished scientist at Amazon AGI in San Francisco; previously at Google Brain and co-founder of Adept AI Labs, with research in natural language processing and machine learning.

Applied scientist at Amazon AGI working on speech, spoken language translation, and multimodal generative AI, and a co-author of the Amazon Nova Sonic technical report.

Assistant professor at the Mila-Quebec AI Institute and the University of Montreal, and Canada CIFAR AI Chair; her research focuses on vision-and-language and multimodal representation learning.

Applied scientist at Amazon working on large language models, responsible AI, and evaluation for foundation model systems.

Principal applied scientist in Amazon AGI whose publications include the Amazon Nova Premier technical report.

Researcher with public work on fairness, robustness, and language technologies. Public profiles connect her research to both UNC Charlotte and Amazon.

Applied scientist at Amazon working on large language models, multimodal AI, and audio generation.

Researcher working on foundation models and agentic systems, including Amazon Nova Premier.

Applied scientist in Amazon AGI whose publications include the Amazon Nova Premier technical report.

Senior principal scientist at Amazon AGI focusing on efficient training and inference of foundation models, large language models, and multimodal models.

Pallavi Baljekar is an Applied Scientist at Amazon whose public profile focuses on machine learning and language technologies.

PhD student at University College London and the Alan Turing Institute whose research spans language and vision models, genomics, and reinforcement learning.

Senior applied scientist at Amazon AGI focused on multimodal deep learning and computer vision, especially video generation, diffusion, and representation learning.

Senior principal scientist at Amazon whose public work focuses on speech, audio, and generative AI systems.

Profile still being enriched.

Profile still being enriched.