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AI/ML and Remote Sensing Intern

Riverside Research Institute

Fairborn, OHFull-time$25–35/hrSeen todaySeen in employer's feed today

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At a glance

Compensation
$25–35/hr
Location
Fairborn, OH
Role Type
Internship
Schedule
Full-time
Work Authorization
US work authorization required

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

TS/SCI clearanceBachelor's degree

Job overview

Riverside Research seeks an Artificial Intelligence/Machine Learning intern to support research and algorithm development for its AI, Automation, and Augmentation Applications team. The intern will help develop machine learning and computer vision solutions, train models, and support data curation for customer problems. The role is based in Dayton, Ohio, and requires U.S. citizenship and willingness and ability to obtain a TS/SCI clearance.

Skills & qualifications

RequiredNice to have

Skills

Computer VisionAI/ML R&DPythonPython PackagingOffice 365Analytical ThinkingInferencingCritical ThinkingCreative Problem-SolvingTechnical CommunicationDoD Intelligence WorkflowsRemote SensingFPGA ProgrammingDeep LearningModel VisualizationSupervised LearningUnsupervised Learning

Qualifications

TS/SCI Clearance EligibilityBachelor's in Related FieldU.S. Citizenship

Full job description

AI/ML and Remote Sensing Intern Location US-OH-Fairborn ID 2026-4415 Category Internships / Co-Ops Position Type Full Time Hourly 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 an Artificial Intelligence / Machine Learning intern to work in Dayton, OH. This internship will provide hands-on experience supporting our AI, Automation, and Augmentation Applications team conducting both research as well as work supporting algorithm development for our customers. You will be part of a highly skilled and integrated team that analyzes intelligence data and develops automation solutions to challenging Scientific & Technical problems. 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 Qualifications 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 Desired Qualifications: - Experience with DoD intelligence production processes and workflows - Knowledge of remote sensing, FPGA programming - 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 Global Comp $25.00 - $35.00/hr This represents the typical compensation range for this position based on experience, location and other factors. Closing Statement Riverside Research Institute is a not-for-profit, technology-oriented defense company, where service to our customers and support of our staff is our overall mission. Riverside is an affirmative action-equal opportunity employer and complies with all applicable federal, state, and local laws regarding recruitment and hiring. Riverside offers comprehensive compensation and benefit packages to our employees.Riverside bases its employment decisions solely on technical experience, qualifications and other job-related criteria related to our organizational purpose as

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