Machine Learning Engineer II
Core
Design, train, and deploy deep learning neural networks for advanced Electro-Optical (EO/IR) image processing to support U.S. Space Development Agency missions.
Role type
Machine Learning Engineer II (IC)
Builds
Deep learning models and ML pipelines for EO/IR image processing integrated into operational space systems
Domain
Space systems / Defense / Computer Vision
Deliverable
production ML models
Required skills
Deep learning neural network design, Computer vision, Image processing, Python, Linear algebra, Model selection and validation, CI/CD, Containerization
Preferred skills
C/C++/Rust, Real-world dataset curation
Technologies
Keras, TensorFlow, Pytorch
Responsibilities
Design and train deep learning models for EO/IR applications, Build and maintain ML pipelines for data ingestion and inference, Collaborate on AI/ML and computer vision projects, Perform rapid prototyping for operational integration, Troubleshoot and maintain existing systems, Evaluate new ML tools and techniques