Sr. Applied Scientist, Leo IDEA

Amazon LEO is Amazon’s low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity.

The Amazon LEO Infrastructure Data Engineering, Analytics, and Science team owns designing, implementing, and operating systems/models that support the optimal demand/capacity planning function. We are looking for a talented scientist to implement LEO's long-term vision and strategy for capacity simulations and network bandwidth optimization. This effort will be instrumental in helping LEO execute on its business plans globally. As one of our valued team members, you will be obsessed with matching our standards for operational excellence with a relentless focus on delivering results.

• Work cross‑functionally with product, business development, and various technical teams (engineering, science, R&D, simulations, etc.) to implement the long‑term vision, strategy, and architecture for capacity simulations and inventory optimization.
• Design and deliver modern, flexible, scalable solutions to complex optimization problems for operating and planning satellite resources.
• Contribute to short and long‑term technical roadmap definition efforts to predict future inventory availability and key operational and financial metrics across the network.
• Design and deliver systems that can keep up with the rapid pace of optimization improvements and simulating how they interact with each other.
• Analyze large amounts of satellite and business data to identify simulation and optimization opportunities.
• Synthesize and communicate insights and recommendations to audiences of varying levels of technical sophistication to drive change across LEO.

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.

• 3+ years of building machine learning models for business applications.
• PhD, or Master’s degree and 6+ years of applied research experience.
• Experience programming in Java, C++, Python, or related language.

• Experience with modeling tools such as R, scikit‑learn, Spark MLLib, MxNet, Tensor Flow, Num Py, Sci Py, etc.
• Experience with large‑scale distributed systems such as Hadoop, Spark.
• Experience with large‑scale machine learning systems such as profiling and debugging and understanding of system performance and scalability.

Salary:  –  USD annually.

Posted: December 23, 2025.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.