Job description

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. 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. • 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 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 $25.00 - $35.00/hr This represents the typical compensation range for this position based on experience, location and other factors. 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 a not-for-profit company, and without regard to race, color, religion, age, sex marital status, sexual orientation, national origin, physical or mental disability, veteran’s status or any other status legally protected by applicable federal, state, and local law.

Requirements

Must-haves

All Riverside Research opportunities require U.S. Citizenship.
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
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

Nice-to-haves

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
$25.00 - $35.00/hr This represents the typical compensation range for this position based on experience, location and other factors.

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Keywords to mirror

machine learningaipythonml

Platform: icims
Effort: medium

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