AI/ML Intern
About The Position
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.
Requirements
- 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
- 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
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
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Career Level
Intern
