The latest news and research from Amazon’s science community. #AmazonScience
Seattle, Washington
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
On-site · Toronto
Innovate on-device and privacy-first AI to bring efficient language models to devices for local generative and conversational capabilities. Design hybrid edge-cloud orchestration and advance privacy-preserving machine learning techniques like federated learning.
On-site · Vancouver
Develop and validate new evaluation methods for multimodal language models and agents, including audio, vision, and video experiences. Collaborate with cross-functional teams to analyze datasets, interpret model failures, and enhance model capabilities for product use cases.
On-site · Toronto
Research and develop novel algorithms and modeling techniques to create a context-aware conversational AI. Focus on core LLM technologies including prompt engineering, fine-tuning, and human feedback to improve user experiences.
