Applied Scientist, Amazon Leo Satellite Build Systems
Core
Build the scientific intelligence layer for Amazon's satellite manufacturing system by developing ML models that transform fragmented manufacturing, test, and operational data into actionable intelligence.
Role type
Applied Scientist (Manufacturing AI)
Builds
AI-enabled workflows for non-conformance disposition, root-cause analysis, and predictive test optimization
Domain
Aerospace manufacturing / Industrial AI
Deliverable
production ML models
Required skills
Machine learning model development, LLM-based systems, retrieval models, anomaly detection, root-cause inference, multimodal learning, generative AI, experimental design, tradeoff analysis, production deployment
Preferred skills
Natural language processing, information retrieval, causal inference, RAG, noisy/weakly labeled data handling, manufacturing domain knowledge, compliance-constrained data environments
Technologies
Java, C++, Python, Unix/Linux
Responsibilities
Translate ambiguous manufacturing problems into scientific models, design and deploy ML models with large-scale noisy datasets, build production-quality scientific components with monitoring, analyze model performance and failure modes, document scientific approaches and results, mentor teammates
Seniority
Senior, hands-on IC
