Senior Applied Scientist, Prodops OAT, Project Kuiper

Senior Applied Scientist

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 Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

Role Overview

As a Senior Applied Scientist (AS), you will lead the design, development, and implementation of novel scientific approaches and advanced machine learning solutions that directly influence Kuiper production manufacturing workflows. You will build and deploy highly-trained AI agents for quality control and process optimization, combining deep technical expertise with strong business judgment to make strategic decisions around technologies, models, and methodologies to deliver high-impact solutions.

Key Job Responsibilities

• Architect, design, and implement innovative ML/AI solutions using a wide range of techniques, including NLP, Computer Vision, and advanced statistical modeling, to solve complex, high-impact business problems.
• Lead the end-to-end lifecycle of research and development, from creating a hypothesis, defining a problem and building a prototype to deploying a scalable, production-ready solution.
• Partner with cross-functional teams—including Product, Engineering, and Business—to translate ambiguous business problems into well-defined, measurable research and development projects.
• Define and drive the long-term research roadmap for the team, identifying emerging opportunities and influencing product strategy to anticipate future business needs.
• Take ownership of the experimentation lifecycle, from hypothesis generation and A/B testing to analyzing results and progressively improving model performance in production.
• Serve as a technical leader, providing technical guidance and mentorship to junior scientists and engineers and driving organizational best practices.
• Write artifacts and present complex findings and technical trade-offs to both technical and non-technical stakeholders, effectively communicating the business value and impact of the solution.
• Champion the ethical use of AI, ensuring all data and algorithmic practices adhere to Amazon's guidelines and promote fairness and transparency.
• Continuously evaluate and apply the latest research and technological advancements in machine learning and related fields to enhance our product offerings.
• Contribute to Amazon's global science community through collaboration and publication of ground-breaking research.