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The overthinking problem in AI
Reasoning models can generate seven to 10 times as many tokens as necessary on simple tasks, creating unsustainable costs at scale. Amazon's vision for metacognitive AI could fundamentally shift how models allocate computational resources.
How Amazon uses AI agents to anticipate and counter cyber threats
Amazon's competitive-agent architecture creates a continuous improvement cycle that develops security protections at machine speed, reducing what typically takes weeks down to hours.
A new view of supply chain emissions
A new approach to reducing carbon emissions reveals previously hidden emission “hotspots” within value chains, helping organizations make more detailed and dynamic decisions about their future carbon footprints.
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How agentic systems work under the hood — and how AWS’s new AgentCore framework implements their essential components.
The overthinking problem in AI
How Amazon uses AI agents to anticipate and counter cyber threats
A new view of supply chain emissions
Demystifying AI agents
Customer-obsessed science
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From the blog
Technical deep-dives and perspectives from our scientists.
Using LLMs to improve Amazon product listings
November 28, 2025
4 min read
Large language models are increasing the accuracy, reliability, and consistency of the product catalogue at scale.
Making fairness in LLMs observable, quantifiable, and governable
November 20, 2025
4 min read
Introducing Chronos-2: From univariate to universal forecasting
October 20, 2025
4 min read
Why AI for good depends on good data
October 14, 2025
7 min read
Information and knowledge management
Novel “Kaputt” dataset sets new benchmark for large-scale visual defect detection
October 2, 2025
3 min read
Featured news
Amazon launches $68 million AI PhD Fellowship program
Initiative will fund over 100 doctoral students researching machine learning, computer vision, and natural-language processing at nine universities.
Amazon - CMU AI Innovation Hub
The collaboration will advance research in generative AI, robotics, natural language processing and cloud computing while fostering innovation in foundational and emerging technologies.
Winners of the Amazon Nova AI Challenge
University teams battle to harden and hack AI coding assistants in head-to-head tournament
David Chang/Getty Images/iStockphoto
Led by David Luan and Pieter Abbeel, the lab will focus on developing new foundational capabilities for enabling useful AI agents.
The company's new state-of-the-art foundation models deliver frontier intelligence and industry-leading price performance.
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Publications
Xiaomin Li, Zhou Yu, Anurag Beniwal, Ziji Zhang, Yingying Zhuang, Narayanan Sadagopan
2025
Reasoning-enhanced large language models (RLLMs), whether explicitly trained for reasoning or prompted via chain-of-thought (CoT), have achieved state-of-the-art performance on many complex reasoning tasks. However, we uncover a surprising and previously overlooked phenomenon: explicit CoT reasoning can significantly degrade… Read more
Wo Jae Lee, Rifat Joyee, Emanuele Coviello, Sudev Mukherjee
NeurIPS 2025 Workshop on AI for Music
2025
Recent advances in generative retrieval allow large language models (LLMs) to recommend items by generating their identifiers token by token, rather than using nearest-neighbor search over embeddings. This approach requires each item, such as a music track, to be represented by a compact and semantically meaningful token sequence… Read more
Search and information retrieval
Yifu Lu, Shengjie Liu, Li Dong
NeurIPS 2025 Workshop on Multi-Turn Interactions in Large Language Models
2025
Agentic tool use has gained traction with the rise of agentic tool calling, yet most existing work overlooks the complexity of multi-turn tool interactions. We introduce OrchDAG, a synthetic data generation pipeline that models tool execution as directed acyclic graphs (DAGs) with controllable complexity. Using this dataset, we… Read more
Yifan Yang, Zhen Zhang, Rupak Vignesh Swaminathan, Jing Liu, Nathan Susanj, Zheng Zhang
2025
Fine-tuning vision language models (VLMs) has achieved remarkable performance across various downstream tasks, yet, it requires access to model gradients through backpropagation (BP), making them unsuitable for memory-constrained, inference-only edge devices. To address this limitation, previous work has explored various BP… Read more
Yue Gong, Chuan Lei, Xiao Qin, Kapil Eknath Vaidya, Balakrishnan (Murali) Narayanaswamy, Tim Kraska
2025
Text-to-SQL systems translate natural language (NL) questions into SQL queries, enabling non-technical users to interact with structured data. While large language models (LLMs) have shown promising results on the text-to-SQL task, they often produce semantically incorrect yet syntactically valid queries, with limited insight into… Read more
Collaborations
Whether you're a faculty member or student, there are number of ways you can engage with Amazon.
Gretchen Ertl
The program offers unrestricted funds and other resources to support research at academic institutions and non-profit organizations in areas that align with our mission.
A global university competition to drive secure innovation in generative AI technology, which focuses on responsible AI and large language model coding security.
Credit: Wolfram Scheible
We partner with particular academic organizations across the world for deep and sustained collaborations in multiple research areas of mutual interest.
Courtesy of Pai-Ling Yin
We hire world-class academics to work on large-scale technical challenges, while they continue to teach and conduct research at their universities.
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Work with us
Applied Scientist, FAR (Frontier AI & Robotics)
US, CA, San Francisco
Join the next revolution in robotics at Amazon's Frontier AI & Robotics team, where you'll work alongside world-renowned AI… Read more
Applied Scientist, FAR (Frontier AI & Robotics)
US, CA, San Francisco
Join the next revolution in robotics at Amazon's Frontier AI & Robotics team, where you'll work alongside world-renowned AI… Read more
Applied Scientist, FAR (Frontier AI & Robotics)
US, CA, San Francisco
Join the next revolution in robotics at Amazon's Frontier AI & Robotics team, where you'll work alongside world-renowned AI… Read more
Data Scientist, AWS Professional Services
US, VA, Arlington
Are you looking to work at the forefront of Machine Learning (ML) and Artificial Intelligence (AI)? Would you be excited to apply AI… Read more
Machine Learning Scientist, International Machine Learning
AU, VIC, Melbourne
We are scaling an advanced team of talented Machine Learning Scientists in Melbourne. This is your chance to join our a… Read more
Applied Scientist, Special Projects
US, WA, Seattle
Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the… Read more
Senior Research Scientist, Intelligent Talent Acquisition - Lead Generation & Detection Services
GB, MLN, Edinburgh
Do you want a role with deep meaning and the ability to make a major impact? As part of Intelligent Talent Acquisition (ITA),… Read more
Applied Scientist, Robotic Hand Sensing and Actuation Engineer , Amazon Industrial Robotics
US, MA, N.reading
Amazon Industrial Robotics is seeking exceptional talent to help develop the next generation of advanced robotics systems… Read more
Amazon Industrial Robotics - Applied Scientist II Intern / Co-op - 2026, Amazon Industrial Robotics
US, MA, North Reading
Amazon Industrial Robotics is seeking exceptional talent to help develop the next generation of advanced robotics systems… Read more
Sr. Research Scientist III, WW Sustainability
US, WA, Seattle
Join the Worldwide Sustainability (WWS) organization where we capitalize on our size, scale, and inventive… Read more
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