AI/ML Intern at Riverside Research in US-OH-Fairborn

Summary: Riverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. They are seeking an Artificial Intelligence / Machine Learning intern to support their AI, Automation, and Augmentation Applications team, conducting research and algorithm development. This internship will provide hands-on experience in developing innovative machine learning solutions to analyze and exploit large datasets. Responsibilities: - Learn to develop innovative machine learning and computer vision solutions to analyze and exploit large, complex datasets from various phenomenologies - Support developing algorithms and associated software tools using C/C++/Python and associated machine learning libraries (PyTorch, LibTorch) - Support training AI/ML models and tune their hyperparameters for a given dataset and algorithm objectives - Support providing solutions for data collection and data linting that enable rapid, automated curation of training data - Adhere to teams’ standards for reviewing source code, unit-testing, source code control, and documentation practices Required Qualifications: - Willingness and ability to obtain TS/SCI clearance - Pursuing Bachelors' degree in either Computer Engineering, Computer Science, Electrical Engineering, Mathematics, Statistics, Physics, or related field of study - Experience or knowledge with computer vision and/or AI/ML R&D algorithm development - Python experience including understanding of language syntax and using a packaging system (pip, uv, etc) - 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 Preferred Qualifications: - Experience with DoD intelligence production processes and workflows - Experience or knowledge 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 Required Skills: Machine Learning, Computer Vision, Python Important Skills: C/C++, AI/ML Algorithm Development Nice-to-Have Skills: Analytic Skills, Office 365 Proficiency Benefits: Comprehensive compensation and benefit packages