Summer 2027 Internship in Digital Signal Processng and Machine Learning - R148

United States·Herndonfull-timeentry

Machine LearningData & AI

1 views0 saves0 applied

Apply Now

Quick Summary

Overview

Expedition Technology (EXP) leads the way in combining machine learning with digital signal processing.

Technical Tools

Machine LearningData & AI

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?

· 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:

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

Extra bonus points if you:

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

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.

Location & Eligibility

Where is the job

Herndon, United States

On-site at the office

Who can apply

About this job

Pay per year: ≈ $72,800 a year; 69% below the $231,500 median for Machine Learning jobs on Jobera (145 salaries).
Who can apply: United States
Posted: Today
Employer: has 28 open jobs on Jobera.