AI Data Science & DEVSECOPS Intern

Leidos•Orlando, FL

1d•Onsite

About The Position

Leidos is seeking a university student to join our Orlando-based team as soon as possible to support Internal Research and Development (IRAD) efforts. This internship offers an opportunity to contribute to DEVSECOPS support for 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 an accredited university with ability to meet site and time zone hourly work requirements.
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: Natural Language Processing or Large Language Models
Data engineering or data wrangling
Creative problem-solving skills and eagerness to work on exploratory, research-driven efforts
IT or Cybersecurity experience including but not limited to: Degree in Computer Science, Data Science, AI and Machine Learning, Cybersecurity, IT, and DEVSECOPS related studies. (Received or In Progress)
Certifications demonstrating a working knowledge in Computer Science, Data Science, AI and Machine Learning, Cybersecurity, IT, and DEVSECOPS related studies, including but not limited to: CompTIA A+, CompTIA Security+, CompTIA Network+, GIAC GISF, GIAC GSEC, ICS2 CISSP, Cisco CCNA, IBM Data Science Professional, AWS Certs

Responsibilities

Contribute to IRAD projects involving DEVSECOPS platform management of Artificial Intelligence (AI), Machine Learning (ML), and Large Language Models (LLMs)
Support the platforms and environments used in 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
Testing of AI application prototypes 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