Summer 2027 Internship in Digital Signal Processing & Machine Learning - R148

Expedition Technology•Herndon, VA

13d•Onsite

About The Position

Expedition Technology (EXP) is seeking interns for Summer 2027 to work in Digital Signal Processing & Machine Learning. This internship offers an opportunity to immerse yourself in the world of digital signal processing and deep learning alongside top-tier engineers, tackling unsolved challenges in Radio Frequency Machine Learning. Interns will learn and develop real-time machine learning systems, craft novel algorithms for GPU-accelerated digital signal analysis, and implement core digital signal processing tasks using Python. They will also collaborate on data processing pipelines, training ML systems, analyzing outcomes, and working with a team of developers to solve real-world issues.

Requirements

United States citizenship is required for security clearance purposes
Currently enrolled student pursuing a college degree in Electrical or Computer Engineering, Computer Science, Software Engineering, data science, AI/ML or related major with an emphasis in Digital Signal Processing
Entering final year of an undergraduate or graduate program with an anticipated graduation date of December 2027 or May 2028
Proficiency in modern programming languages (Python preferred)
Familiarity with command line and version control (Git) experience
Interest in signal processing (courses, clubs, projects, etc.)
Interest in machine learning (RF, audio, computer-vision, LLMs)
Interest in working in defense and intelligence post-graduation
Must be willing to undergo background investigation for a US-government issued security clearance if not already cleared
Experience creating and delivering technical presentations

Nice To Haves

Have an active Secret, Top Secret, or Top Secret/SCI security clearance

Responsibilities

Learn & Develop: Delve into real-time machine learning systems operating on streaming, real-world RF data.
Craft novel algorithms for GPU-accelerated digital signal analysis across diverse RF domains like communications and radar.
Implement: Leverage Python to execute core digital signal processing tasks – from filtering and spectral analysis to waveform generation.
Work with the team to integrate your solutions to run in real systems to demonstrate their effectiveness.
Utilize and deploy modern DevOps and MLOps tools.
Collaborate: Engage in data processing pipelines, training ML systems, analyzing outcomes, working alongside a team of developers, and tackling real-world issues alongside our esteemed teams.