Principal Machine Learning Engineer (EO/IR)
Core
Develop and deploy deep learning models for EO/IR image processing to support U.S. Space Development Agency missions.
Role type
Principal Machine Learning Engineer (EO/IR)
Builds
Machine learning pipelines and solutions for Optical Systems applications
Domain
Aerospace / Defense / Computer Vision
Deliverable
production ML models
Required skills
Deep learning, Computer vision, Python, TensorFlow, PyTorch, Keras, Linear algebra, Model deployment, CI/CD, Containerization
Preferred skills
C/C++/Rust, Dataset curation, TS/SCI clearance
Responsibilities
Design, train, and deploy machine-learning models for Optical Systems applications; Build and maintain machine-learning pipelines for data ingestion, feature engineering, training, and inference; Collaborate with researchers and engineers in artificial intelligence, machine learning, and computer vision; Rapidly prototype and develop systems for integration into operational use; Troubleshoot, fix bugs, and maintain existing and new systems; Keep up with machine-learning research and assess new tools, frameworks, and techniques