AI/ML Intern

Riverside Research InstituteFairborn, OH
1d$20 - $30Onsite

About The Position

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
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