The Leidos Cyber Accelerator is redefining how we build, validate, and scale next-generation cyber and artificial intelligence (AI) capabilities. We are seeking an AI/ML Intern to support Cyber AI projects.
The ideal candidate is passionate about a broad range of projects from research & development to prototype development, culminating in deployment of our products to customers. This role works alongside junior and senior engineers and research scientists with expertise in machine learning, cybersecurity, IT, reverse engineering, and Cyber AI. The successful candidate will have experience in areas like: software engineering, artificial intelligence (AI), cybersecurity, and machine learning (ML).
Primary Responsibilities
Assist in the design, implementation, and evaluation of AI/ML models for various applications.
Create AI/ML prototypes for various use cases
Enhance and maintain analysis tools, including automation of current processes using AI/ML algorithms
Apply existing knowledge and acquire new skills to help solve complex problems, all while gaining experience in the development and delivery of solutions to customers
Work within a multidisciplinary team to design and develop solutions
Effectively communicate with engineers regarding current tasks and present findings to provide actionable insights
Basic Qualifications
Currently enrolled in a bachelor's degree in Data Science, Computer Science, Artificial Intelligence, Mathematics, Statistics, Computer Engineering or STEM related degree
Hands-on Software Development Skills (Python-Preferred)
Understanding of machine learning algorithms, tools and platforms (Familiarity with tools like NumPy, SciPy, scikit-learn, TensorFlow, Pytorch, LLM ecosystems (RAG, agentic systems) or similar.)
Demonstrate problem solving, teamwork, and communication skills
Ability to obtain a DoD security clearance - US Citizenship required.
Preferred Qualifications
Experience developing production solutions leveraging large language models (LLMs).
Experience with cloud platforms (AWS, Azure) for deploying machine learning models.
AWT LINC
Come break things (in a good way). Then build them smarter.
We're the tech company everyone calls when things get weird. We don’t wear capes (they’re a safety hazard), but we do solve high-stakes problems with code, caffeine, and a healthy disregard for “how it’s always been done.”
Original Posting:October 10, 2025For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
Top Skills
Similar Jobs
What you need to know about the Colorado Tech Scene
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
