Amazon Applied Scientist Kuiper Ground Software & Analytics 

United States, Washington, Redmond 

154360956

Key job responsibilities
• Translate ambiguous problems into well defined mathematical problems• Prototype, test, and implement state-of-the-art algorithms for antenna pointing calibration, anomaly detection, predictive failure models, and ground terminal performance evaluation• Provide actionable recommendations for system design/definition by defining, running, and summarizing physically-accurate simulations of ground terminal functionality• Collaborate closely with engineers to deploy performant, scalable, and maintainable applications in the cloudExport Control Requirement:
A day in the life• Design, development, deployment, and support of a Tier-1 Monitoring and Remediation System (MARS) needed to maintain high availability of hundreds of ground terminals deployed around the world• Ground systems integration/test (I&T) automation• Ground terminal configuration, provisioning, and acceptance automation• Systems analysis• Algorithm development (pointing/tracking/calibration/monitoring)• Software interface definition for supplier-provided hardware and development of software test automation

- Master's degree or above in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- 4+ years of deep learning, computer vision, human robotic interaction, algorithms implementation experience
- Experience in statistics methodology, applications to business problems or big data
- Experience with statistical methods (e.g., A/B Testing, Regression)

- Experience in new hardware product development
- Knowledge of one or more ML Frameworks (e.g., PyTorch, TensorFlow) and ML methods including NLP models (BERT, GPT-2/3), computer vision-based models (object detection, image recognition), and text-based models (Seq2Seq, Topic modeling)
- Experience with cloud computing technologies
- Knowledge of data structures, algorithm design, statistics, and system design
- Experience in calibration and anomaly detection
- Expert science/data science development experience in Python