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Expedition Technology (EXP) is seeking a Signal Processing and Machine Learning Intern to work onsite in Herndon, VA. You will learn and develop real-time ML systems handling streaming RF data and craft Python-based DSP tasks, aiming to deploy solutions in real systems.
Join a team of engineers to analyze outcomes, iterate algorithms, and contribute to cutting-edge RF, ML, and DSP projects during a Summer 2027 internship, 40 hours per week.
Expedition Technology (EXP) leads the way in combining machine learning with digital signal processing. 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.
Eligible candidates should meet the following criteria:
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.