At this year's Amazon Machine Learning Conference (AMLC), Amazon researchers gathered to showcase high-quality science, connect with colleagues with similar research interests, and learn innovative techniques. Since 2013, the annual internal conference has provided learning and teaching opportunities for scientists across the company.
Amazon Science
Research Services
Seattle, Washington 382,200 followers
The latest news and research from Amazon’s science community. #AmazonScience
About us
Amazon Science gives you insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work. Follow us on LinkedIn and visit our website to get a deep dive on innovation at Amazon, and explore the many ways you can engage with our scientific community. #AmazonScience
- Website
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https://www.amazon.science
External link for Amazon Science
- Industry
- Research Services
- Company size
- 10,001+ employees
- Headquarters
- Seattle, Washington
- Founded
- 2020
- Specialties
- Artificial Intelligence, Machine Learning, Computer Vision, Cloud, Economics, Sustainability, AI, ML, Conversational AI, Natural Language Processing, NLP, Robotics, Security, Privacy, Information, Knowledge Management, Operations, Scientific Research, Search, Amazon, and Alexa
Updates
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Announcing a private AI bug bounty program to strengthen the Amazon Nova foundation models. Building on the success of Amazon's public bug bounty program, which has surfaced over 30 validated findings and awarded over $55,000 in rewards, the new program will partner with the broader security and academic research communities to strengthen the security of select Amazon AI models and applications including Nova, with qualified participants earning monetary rewards ranging from $200 to $25,000.
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Amazon researchers reveal previously hidden emission “hotspots” within supply chains using a new mathematical approach. Their freely available dataset shows emissions at each tier of the value chain, enabling organizations to create dynamic, scenario-based models for strategic supplier and technology decisions instead of relying on a static snapshot: https://amzn.to/47uPXMz
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Amazon Science reposted this
Amazon is investing in the future of AI development by supporting more than 100 doctoral students across nine top universities, through our $68 million AI PhD Fellowship program. This initiative represents our commitment to advancing the frontiers of artificial intelligence through machine learning, computer vision, and natural language processing research. Each university will receive $1.1 million annually to support tuition, stipends, and research expenses, ensuring these brilliant minds can focus on breakthrough discoveries. During my time as an affiliate instructor and as Director of the University of Washington Foundation, I’ve witnessed firsthand the transformative power of academic-industry partnerships and am excited about this program's potential to accelerate AI innovation while nurturing the next generation of researchers. The University of Washington is among the participating institutions, and this partnership exemplifies how we can bridge the gap between cutting-edge research and real-world applications. Read more about how this fellowship program embodies our commitment to fostering innovation that benefits society while maintaining the highest standards of safety and responsibility: https://lnkd.in/gb5mPkwN
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Last week wrapped up this year's International Conference on Computer Vision in Hawaii. You can learn more about our computer vision research here: https://lnkd.in/eAXrWDRs Thank you to everyone who stopped by! #ICCV2025
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Amazon is launching the next chapter of the Amazon Nova AI Challenge — an annual university competition advancing the science of responsible, real-world AI. The 2026 Challenge: Trusted Software Agents asks student teams to build and evaluate AI agents that can plan, build, and test software safely and reliably. As generative AI expands from code generation to complex application development, this challenge focuses on improving both utility and trustworthiness in tandem. Ten university teams will compete to design systems that reflect real engineering workflows, demonstrating measurable progress in both performance and safety. Applications open November 10, 2025. Learn more: http://amzn.to/43Ef8cZ
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The deadline has been extended to November 12. Submit your proposal today!
Reminder: Amazon Research Awards fall 2025 deadline is November 5. Successful applicants will receive unrestricted funds, AWS promotional credits, and training resources: https://amzn.to/3Wzm5YO #AmazonResearchAwards
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Our latest newsletter features Chronos-2, a foundation model for zero-shot time series forecasting, insights into how agentic AI systems work, a novel benchmark for visual defect detection, along with the #AmazonResearchAwards fall 2025 call for proposals.
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Reminder: Amazon Research Awards fall 2025 deadline is November 5. Successful applicants will receive unrestricted funds, AWS promotional credits, and training resources: https://amzn.to/3Wzm5YO #AmazonResearchAwards
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