Amazon is a major cloud provider and is building QuickSuite, a Generative AI application aimed at transforming enterprise operations. The role involves developing tools for science experimentation, bridging gaps between science and engineering, and expediting the transition from science to production.
Responsibilities:
- Define, design and lead the development of tools that accelerate the science experimentation and delivery process
- Design and guide the science team's implementation, enabling Science proof of concepts that help decide the ultimate science solution strategy, algorithm workflow, and the individual science components that become a release candidate
- Tool development: build and improve toolings that applied scientists would need, including scalable science experiment frameworks, low-latency testing pipelines, data collection/annotation/evaluation web applications
- Expedite science to production: bridge the gap between science and engineering teams, help to investigate and mitigate gaps between science and engineering pipeline. Help to merge both pipelines to one, or making components within the two interchangeable. Work towards a fast science-to-production paradigm