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
- provide expertise in data analytics and algorithm development supporting the integration and analysis of diverse data sources
- 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
- Experience in applying core Machine Learning methodologies: Regression, Classification, Clustering, Decision Trees, Dimensional Reduction, Neural Networks & Deep Learning, Feature Engineering
- ML for either natural language processing, computer vision, reinforcement learning, generative modeling, or equivalent experience
- R&D on remotely sensed data to include modeling and development of algorithms.
Other
- Active Secret Clearance with ability to obtain and maintain a TS/SCI
- PhD in data science, mathematics, statistics, computer science, a physical science or engineering is strongly desired
- Thorough understanding of working in research, development and production environments
- Background in image science, imagery exploitation, spatial analysis, and computer vision are a plus
- Ability to work independently or in a team environment
