Amazon Science homepage Overview & Contact Data

Amazon Science is the public research portal for Amazon, presenting the company's scientific work across artificial intelligence, machine learning, computer vision, robotics, quantum computing, economics, and related fields. The site explains Amazon's research priorities, highlights published studies, and provides context for how applied computing and cloud infrastructure support large-scale science. It serves researchers, academics, students, developers, university partners, and anyone evaluating Amazon as a research collaborator, employer, or technology platform. For scholars and academics, the site functions as a point of reference for Amazon's engagement with research universities and the broader science community. It surfaces topics such as reasoning systems, intelligent computing, and cloud-enabled experimentation, while also offering career opportunities in AI, ML, and adjacent disciplines. Readers can explore how Amazon's research areas connect to real-world products, internal tools, and external collaborations, making the portal useful for job seekers, graduate students, faculty, and institutional partners looking for information about Amazon scholars and academic work. What distinguishes Amazon Science is its breadth. Rather than focusing on a single technology, it covers a wide spectrum of scientific and engineering inquiry, from language understanding and visual perception to physical robotics and quantum hardware. The site positions Amazon as both a technology company and a research organization, giving external audiences a clearer view of where the company invests intellectual effort and how its research may influence future products, services, and enterprise solutions. The portal also helps prospective candidates understand where Amazon hires across research labs, applied science teams, and academic-facing programs. By connecting technical publications, research areas, and employment pathways in one place, Amazon Science gives a practical overview for people considering roles in AI research, machine learning engineering, quantum science, or university collaboration.