✦ Luna Orbit — AI & Machine Learning

Senior Applied Scientist, Leo Network Observability

at Amazon.com

📍 US, WA, Redmond Unknown Posted March 13, 2026
Type Not Specified
Experience senior
Exp. Years 5+ years
Education PhD, or Master's degree and 5+ years of CS, CE, ML or related field experience
Category AI & Machine Learning

This role involves designing and developing network observability solutions for Amazon's Low Earth Orbit satellite network, utilizing advanced ML and deep learning techniques.

  • Design network observability solutions
  • Develop scalable ML models
  • Collaborate with network engineers
  • Mentor team members
  • Define science roadmap

Focuses on ML, deep learning, algorithms, cloud native software, and space-terrestrial network integration, leveraging AWS and related tools.

The ideal candidate is a senior scientist with 5+ years of experience in machine learning and deep learning, proficient in designing scalable solutions for space and terrestrial networks, with strong collaboration and mentoring skills.

Machine LearningDeep LearningAlgorithmsData StructuresCloud native software
Natural Language ProcessingDistributed systemsObject-oriented design
AWSAmazon SageMakerTensorFlowApache MXNet
Machine LearningDeep LearningNatural Language ProcessingAlgorithmsData StructuresCloud native softwareAWSTensorFlowApache MXNet
Machine LearningDeep LearningNatural Language ProcessingAlgorithmsData StructuresObject-oriented designCloud native softwareAWSPythonDistributed systems
CollaborationProblem-solvingInnovationMentoringRoadmap definitionCommunication
Industry Telecommunications / Space Technology
Job Function Develop ML-based network observability solutions for satellite networks
Senior Applied ScientistMachine LearningDeep LearningNatural Language ProcessingAlgorithmsData StructuresCloud native softwareAWSAmazon SageMakerTensorFlowApache MXNet

Lack of experience in ML or deep learning, No experience with cloud native software, Unable to work on space/terrestrial network projects

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