Quick Summary
Willingness and ability to obtain TS/SCI clearance. Pursuing Bachelors’ degree in either Computer Engineering, Computer Science, Electrical Engineering, Mathematics, Statistics, Physics,
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
~1 min read- →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
Requirements
~1 min read- 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
- 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
Location & Eligibility
About this job
- Pay per year
- ≈ $52,000–$72,800 a year
- 14% below the $72,800 median for Other jobs on Jobera (100,333 salaries).
- Posted
- Today
Listing Details
- Posted
- October 14, 2026
- First seen
- October 14, 2026
- Last seen
- October 14, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 55%
- Scored at
- October 14, 2026
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