US Citizen able to obtain and maintain a clearance (up to a TS/SCI minimum).
Bachelor's Degree in either Electrical Engineering, Mathematics, Statistics, Physics, Computer Science, or related field of study
Must demonstrate proficiency in Python-based end-to-end AI/ML model development lifecycle using a recent deep learning platform (TensorFlow preferred)
Awareness of version control, branches, merge conflict resolution, and git in general
Proficient in collaborative Office 365 tools such as MS Word, Excel, and PowerPoint
Ability to work closely with subject-matter experts to develop tools, algorithms, and datasets needed for developing relevant and useful AI/ML prototype algorithms
Self-driven, strong analytic, inferencing, critical thinking, and creative problem-solving skills
Communicates highly technical results and methods clearly and succinctly
Desired Qualifications:
Advanced degree (MS/PhD) in Data Science, Mathematics, Statistics, Computer Science, a Physical Science or Engineering is strongly desired
Active Secret Security Clearance
Experience with DoD intelligence production processes and workflows
1+ years operational experience in radar signal processing analysis, overhead imagery analysis, orbital mechanics, and/or electronic warfare data analysis
1+ years experience using data visualization tools and libraries in Python
Visualizations/Web Development Skills (e.g., Tableau, MEAN stack - MongoDB, ExpressJS, AngularJS, NodeJS)
Experience with large (1 GB +) image data and formats such as HDF5, JSON, GEOTIFF, TFRecords, etc.
Experience in development of distributed, web-based systems, service-oriented architectures, front-end user interfaces, and back-end databases are a plus
Experience with interpretability of deep learning computer vision models including visualization and reasoning about model latent spaces and activation maps to assess model effectiveness / weaknesses
Familiarity in differences of supervised learning vs. unsupervised learning techniques