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Leidos · 2 months ago

AI Data Science Intern

Orlando, FL

Internship

Onsite

Intern

$47K/yr - $85K/yr

Leidos is seeking a university student to join their Orlando-based team as an AI Data Science Intern. This internship provides an opportunity to contribute to exploratory projects in Artificial Intelligence, data engineering, and advanced software development, emphasizing hands-on research and prototyping in modern software and AI ecosystems.

ComputerGovernmentInformation ServicesInformation TechnologyNational SecuritySoftware

No H1B

Security Clearance Required

U.S. Citizen Only

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

Qualification

Artificial IntelligenceMachine LearningData EngineeringPythonCreative Problem-Solving

Required

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)

Preferred

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