
Summer 2027 Internship in Digital Signal Processing & Machine Learning - Top Secret/SCI Clearance Required - R149
Required skills
- Top Secret/SCI Clearance
- United States citizenship
- Electrical Engineering
- Computer Engineering
- Software Engineering
- Data Science
- AI/ML
- Digital Signal Processing
- Python
- command line
Nice to have
- GPU-accelerated
- DevOps
- MLOps
- RF
- audio
- computer-vision
Role summary
Expedition Technology (EXP) is seeking interns for Summer 2027 to work on cutting-edge digital signal processing and machine learning projects, focusing on Radio Frequency Machine Learning. Interns will develop and implement novel algorithms for real-time RF data analysis, utilize Python for signal processing tasks, and integrate solutions into live systems. The role involves collaboration on data pipelines, ML training, and outcome analysis. This onsite internship in Herndon, VA, requires an active Top Secret/SCI clearance, US citizenship, and current enrollment in a relevant engineering or computer science program. Proficiency in Python and Git is expected, with familiarity in DevOps/MLOps and GPU acceleration being preferred.
What will you do as a Signal Processing and Machine Learning Intern? · 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.
Key Details:
- Location: Onsite at Expedition Technology HQ, Herndon, VA.
- Compensation: $35.00/hr
- Duration: Full-time (40 hours/week) Summer 2027
Is an EXP summer internship right for you? Eligible candidates should meet the following criteria:
- Active Top Secret (TS) or Top Secret/SCI (TS/SCI) Security Clearance
- 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
- Experience creating and delivering technical presentations
About Expedition Technology (EXP) Expedition Technology (EXP) designs, develops, and delivers innovative solutions with national impact for the defense and intelligence communities. We use machine learning, artificial intelligence, and other advanced algorithms, platforms, and technologies to solve our customers' most complex, demanding and urgent C4ISR challenges. Our culture promotes individual growth and opportunity, prioritizes a collaborative team spirit, and invites the intellectually curious to solve challenging problems creatively. Headquarted in Northern Virginia's high-tech corrdor, EXP is a rapidly growing, privately held company that pushes the boundaries of what is possible every day. To learn more about EXP and discover why we are an award-winning workplace, visit our web site and follow us on LinkedIn. Interested in joining our team? Let’s explore together. EXP is proud to be an Equal Opportunity Employer that believes a diverse range of talent creates an environment that fosters creativity and innovation. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, genetic information or protected veteran status.
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