Senior Applied Scientist, Leo Satellite Build Intelligence
Core
Build the scientific intelligence layer powering Amazon's satellite manufacturing system by transforming fragmented manufacturing, test, quality, and operational data into a unified, closed-loop intelligence system.
Role type
Senior Applied Scientist (Manufacturing Intelligence)
Builds
AI-native workflows for non-conformance disposition, root-cause analysis, and predictive test optimization within satellite production.
Domain
Aerospace manufacturing / Industrial AI
Deliverable
production ML models
Required skills
Machine learning model design and deployment, neural deep learning methods, statistical analysis and experimentation, working with noisy/heterogeneous datasets, translating ambiguous problems into scientific models, model evaluation framework design, engineering collaboration for production deployment, closed-loop learning system architecture.
Preferred skills
LLM-based systems and RAG, agentic workflows, designing evaluation frameworks for production AI, building feedback-driven ML systems, influencing scientific direction and mentoring, experience in manufacturing/aerospace/robotics, working in governed data environments.
Technologies
Java, C++, Python, LLMs, retrieval models, generative AI
Responsibilities
Design, train, and deploy machine learning models for production-critical decisions; define evaluation frameworks capturing real-world failure modes; work with engineering teams to deploy models with monitoring and continuous retraining; build closed-loop learning systems where model outputs influence manufacturing decisions; mentor scientists and engineers.
Seniority
Senior, hands-on IC with mentorship responsibilities