Artificial Intelligence / Machine Learning Engineer (Clearance Required)LocationUS-OH-FairbornID2023-1860CategoryFuture OpportunitiesPosition TypeFull Time SalaryRiverside OverviewRiverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. We provide high-end technical services, research and development, and prototype solutions to some of the country's most challenging technical problems.All Riverside Research opportunities require U.S. Citizenship.Position OverviewRiverside Research is seeking an Artificial Intelligence / Machine Learning Engineer to support existing contracts to prototype and develop automation solutions to NASIC's most difficult Scientific & Technical Intelligence problems. As a highly valued and sought-after Riverside Research employee, you will be part of a highly skilled and integrated team that analyzes intelligence data to discover opportunities for automated solutions.ResponsibilitiesAI/ML algorithm development for prototype applications in remote sensing:Develop prototype AI/ML algorithms and associated software tools using Python and the Python/TensorFlow APITrain AI/ML models and tune their hyperparameters for a given dataset and algorithm objectivesVisualize hyperparameter optimization spaces with Tensorboard for selection of optimal parameters for a given parametric (functional) TensorFlow modelAI/ML dataset generation, curation, and management:Provide customized solutions to data quality control that ensure accurate functional mappings for AI/ML algorithms on complex remote sensing datasetsDevelop databases / data lakes / data warehouses for organizing both structured and unstructured datasetsAI/ML algorithm R&D:Apply machine learning and general computer vision best practices and methods to analyze and exploit large, complex remote sensing datasets from a variety of remote sensing phenomenologyKeep up with the SoTA practices for AI/ML, perform relevant R&D, and implement new and innovative ideas in machine learning and high-performance computing to solve long-standing remote sensing "big-data" exploitation problemsSoftware development, documentation, and coding best practices:Contribute and adhere to the AI team's standards for reviewing and unit-testing code, lead or participate in team-wide code reviews, and adhere to standardized documentation practicesUtilize Python PEP8 standardsQualificationsRequired Qualifications:Must have minimum of Secret with able to obtain and maintain a TS/SCI clearance.Master's Degree in either Electrical Engineering, Mathematics, Statistics, Physics, Computer Science, or related field of study5+ years of AI/ML expertise in the fieldMust 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 generalProficient in collaborative Office 365 tools such as MS Word, Excel, and PowerPointAbility to work closely with subject-matter experts to develop tools, algorithms, and datasets needed for developing relevant and useful AI/ML prototype algorithmsSelf-driven, strong analytic, inferencing, critical thinking, and creative problem-solving skillsCommunicates highly technical results and methods clearly and succinctlyDesired Qualifications:Advanced degree (MS/PhD) in Data Science, Mathematics, Statistics, Computer Science, a Physical Science or Engineering is strongly desiredActive TS/SCI Security ClearanceExperience with DoD intelligence production processes and workflo