Project Kuiper is Amazon’s low Earth orbit satellite broadband network. Its mission is to deliver fast, reliable internet to customers and communities around the world, and we’ve designed the system with the capacity, flexibility, and performance to serve a wide range of customers, from individual households to schools, hospitals, businesses, government agencies, and other organizations operating in locations without reliable connectivity.
Export Control : This position requires that the candidate selected be a U.S. Citizen in order to comply with U.S. government-imposed requirements related to the nature of the work and/or where it will be performed.
Kuiper Production Operations team is looking for a Data Engineer who is motivated to take on challenges and be part of a growing team that analyzes and implements Kuiper controls. As part of the Kuiper Enterprise Technology team, you are responsible for delivering Kuiper control systems and processes to meet Kuiper security and compliance standards. You will be a key liaison with Kuiper service teams, infrastructure teams, Kuiper Security, and Global Trade and Compliance. Have the ability to dive deep, understand, document, communicate and implement controls for IT systems and processes, and be able to drive innovative process changes and automation throughout the Kuiper organization.
We have a team culture that encourages ownership, diversity, inclusion, and innovation. You will have an opportunity to work across the entire Kuiper organization implementing and managing various controls along side Kuiper Security. Kuiper security owns policy and definition of controls, and this role owns the coordination, development, implementation, and change management of controls as well as managing defects and improvements.
Key job responsibilities
Implementing machine learning algorithms and generative artificial intelligence to support Activity-Based Intelligence (ABI) methodologies for data monitoring, searching, research, and discovery.
Apply advanced statistical models, behavioral and population clustering, and predictive analytics to automation orchestration.
Hands-on experience with reference model platforms such as QuickSight, Tableau, Databricks, AWS Glue Catalog, and Palantir.
Proficiency with programming languages and tools such as Bourne shell, PowerShell, TypeScript, Go, Python, and Jupyter Notebook.
Discuss and explain complex ML and AI concepts to executive leadership
