AI Data Science Intern

LeidosOrlando, FL
4d

About The Position

Leidos is seeking a university student to join our Orlando-based team as Software Development Interns supporting Internal Research and Development (IRAD) efforts. This internship offers an opportunity to contribute to exploratory projects in Artificial Intelligence (AI), data engineering, and advanced software development — all in support of Leidos' internal innovation and national security customer missions. We welcome applicants from a variety of academic backgrounds who have strong interest or experience in computing, data, or AI. This role emphasizes hands-on, applied research and prototyping in modern software and AI ecosystems.

Requirements

  • Actively enrolled in an undergraduate or graduate program at the University of Central Florida
  • U.S. citizenship and the ability to obtain and maintain a Secret security clearance
  • Strong interest in or exposure to programming , AI/ML , or data science
  • Familiarity with one or more modern programming languages (e.g. Python , Java , C++ , JavaScript )

Nice To Haves

  • Coursework, projects, or hands-on experience in areas such as: Artificial Intelligence or Machine Learning
  • Computer Vision or Multimodal Models
  • Natural Language Processing or Large Language Models
  • Data engineering or data wrangling
  • Familiarity with data labeling , data cleaning , or preparing training sets for AI
  • Interest in AI safety, bias mitigation, or explainability
  • Creative problem-solving skills and eagerness to work on exploratory, research-driven efforts

Responsibilities

  • Contribute to IRAD projects involving Artificial Intelligence (AI) , Machine Learning (ML) , and Large Language Models (LLMs)
  • Support the development of multimodal AI systems that combine visual, textual, geospatial, and sensor data
  • Assist in designing data pipelines that transform structured and unstructured data into AI/ML-ready formats
  • Prototype AI applications and perform experimental evaluations, including AI safety and reliability testing
  • Collaborate with multidisciplinary teams on simulation, modeling, and decision support tools
  • Document findings, write test code, and iterate based on feedback and research outcomes
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