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

Expedition Technology • Herndon, VA

12d • Onsite

About The Position

Spend your summer immersing yourself in the fascinating world of digital signal processing and deep learning alongside top-tier engineers. Join our mission to tackle the unsolved challenges in the thrilling new field of Radio Frequency Machine Learning. This internship involves learning and developing real-time machine learning systems operating on streaming, real-world RF data, crafting novel algorithms for GPU-accelerated digital signal analysis across diverse RF domains like communications and radar. You will implement core digital signal processing tasks using Python, integrate solutions to run in real systems, and utilize modern DevOps and MLOps tools. Collaboration includes engaging in data processing pipelines, training ML systems, analyzing outcomes, and working alongside a team of developers to tackle 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed