• 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