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Expedition Technology is seeking a Signals Processing and ML Intern to work on real-time DSP and RF ML projects. You will implement Python-based DSP tasks and help deploy solutions to real systems, while collaborating with experienced engineers.
Eligible candidates are pursuing EE/CS/Software/Data Science, entering final year in 2027/2028, with TS/SCI clearance or eligibility. This onsite summer internship in Herndon, VA runs 40 hours/week for Summer 2027.
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.
What will you do as a Signal Processing and Machine Learning Intern?
Key Details:
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Eligible candidates should meet the following criteria:
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.
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.