Radiance is seeking a Machine Learning Engineer to advance the artificial intelligence capabilities of the National Air and Space Intelligence Center at Wright Patterson Air Force Base by providing expertise in data analytics and algorithm development, supporting the integration and analysis of diverse data sources, and developing machine learning, data mining, and statistical algorithms for pattern recognition and anomaly detection.
Requirements
- A working knowledge of Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs)
- Experience in applying core Machine Learning methodologies: Regression, Classification, Clustering, Decision Trees, Dimensional Reduction, Neural Networks & Deep Learning, Feature Engineering
- Strong programming skills in at least one of the following languages Python, Matlab, C++
- Experience with Machine Learning APIs, such as TensorFlow, PyTorch, or Keras
- ML for either natural language processing, computer vision, reinforcement learning, generative modeling, or equivalent experience
- A mathematical background (Probability and Statistics)
- An experienced grasp of version control using Git for nonlinear workflows
Responsibilities
- develop machine learning, data mining and statistical algorithms for pattern recognition and anomaly detection
- improve upon current methods for the automated processing and exploitation of large data sets
- R&D on projects involving the exploitation of data from sensors including investigation of state-of-the-art machine learning classification methods to detect, track, and characterize targets of interest
- provide expertise in data analytics and algorithm development
- supporting the integration and analysis of diverse data sources
Other
- Active Secret Clearance with ability to obtain and maintain a TS/SCI
- Ability to work independently or in a team environment
- Strong technical writing and oral communication skills
- Active Top Secret/SCI clearance
