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Amazon · 6 hours ago

Applied Scientist, Amazon Leo Ground Software & Analytics

Redmond, WA

Full-time

Onsite

Mid, Senior Level

$136K/yr - $223K/yr

4+ years exp

Amazon is seeking an accomplished Applied Scientist to join their Leo Ground Software & Analytics team, which focuses on delivering reliable internet connectivity through satellite technology. The role involves developing algorithms and simulations to enhance the performance and reliability of ground terminals, directly impacting customers worldwide.

Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail

No H1B

U.S. Citizen Only

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 cloud

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

Qualification

Deep learningMachine learning frameworksStatistical methodsPythonCloud computingCalibrationAnomaly detectionData analysisCollaborationProblem-solving

Required

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)

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

Preferred

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