Senior Artificial Intelligence

Senior Artificial Intelligence / Machine Learning Engineer Location US-OH-Fairborn ID 2024-3484 Category Software Development Position Type Full Time Salary Riverside Overview Riverside 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 Overview Riverside Research is seeking a Senior 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. Must live in or relocate to a commutable distance to Wright Patterson Airforce Base and surrounding areas. Responsibilities AI/ML algorithm development for prototype applications in remote sensing: Develop prototype AI/ML algorithms and associated software tools using Python and the Python/TensorFlow API Train AI/ML models and tune their hyperparameters for a given dataset and algorithm objectives Visualize hyperparameter optimization spaces with Tensor board for selection of optimal parameters for a given parametric (functional) TensorFlow model AI/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 datasets Develop databases / data lakes / data warehouses for organizing both structured and unstructured datasets AI/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 phenomenology Keep 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 problems Software 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 practices Utilize Python PEP8 standards Qualifications Must have minimum of Secret with able to obtain and maintain a TS/SCI clearance. 8 years and a 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 with 10 years of experience is strongly desired Active TS