Aerospace Communication AI Analyst Intern - Summer 2026

CACI International • Sterling, VA

1d • Hybrid

About The Position

Join our innovative project as an Aerospace Communication AI Analyst Intern, focused on revolutionizing aerospace communication through AI-driven data transformation. You’ll contribute to cutting-edge advancements in radio communication technologies, enhancing data reliability and efficiency. Gain hands-on experience in machine learning, signal processing, and computer vision within the aerospace domain, while collaborating with a team of skilled engineers, data scientists, and domain experts. This role offers a hybrid schedule with the expectation that you will be in-person at least 3-4 days a week at our Sterling, VA location.

Requirements

• Currently pursuing a Bachelor's degree in Computer Science, Aerospace Engineering, Electrical Engineering or a related field
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
• Basic proficiency in Python and a willingness to learn and improve
• Familiarity with MATLAB or similar software and a willingness to learn
• Interest in computer vision and visualization techniques
• Strong problem-solving skills and attention to detail
• Good analytical and critical thinking abilities
• Effective communication skills
• Ability to work both independently and as part of a team

Nice To Haves

• Prior experience or coursework in machine learning, signal processing, or aerospace communication is a plus
• Enthusiasm for learning and applying new technologies
• Minimum GPA of 3.0 or higher is preferred, but not required
• Previous internship/co-op or other work experience

Responsibilities

• Develop and refine machine learning models to automatically detect and classify artifacts in radio communications used in aerospace applications
• Design and implement algorithms and feature engineering techniques to identify statistical signatures in bit streams
• Establish a robust testing framework with performance metrics to validate the accuracy of detection
• Develop a Python library containing models and thorough documentation for identification
• Implement computer vision approaches for trajectory visualization and pattern recognition in aerospace communications
• Develop machine learning models to predict missing parameters and identify flight behaviors based on communication data
• Create an interactive analysis toolkit with specialized applications for aircraft tracking and performance analysis
• Provide clear and detailed documentation for all developed models, algorithms, and tools
• Conduct rigorous testing and validation of all implemented solutions to ensure reliability and accuracy
• Work closely with cross-functional teams, including engineers, data scientists, and domain experts, to integrate solutions into existing systems
• Prepare and present regular progress reports and findings to stakeholders
• Stay updated with the latest advancements in AI, machine learning, and aerospace communication to continuously improve project outcomes

Benefits

• Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives.
• We offer competitive compensation, benefits and learning and development opportunities.
• Our broad and competitive mix of benefits options is designed to support and protect employees and their families.
• At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.

What This Job Offers

• Job Type: Part-time
• Career Level: Intern