Summer 2027 Internship in AI/Machine Learning and Computer Vision - Secret Clearance Required
Machine LearningData & AI
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Quick Summary
Technical Tools
Machine LearningData & AI
Are you passionate about deep learning and artificial intelligence? Do you want to work on cutting-edge projects that make a real impact? Join our team as a summer intern at Expedition Technology (EXP) to work on our applied research and development programs! We collaborate with the US Department of Defense and Intelligence Communities to develop novel solutions using AI/ML and software engineering to solve challenging problems. As an intern, you'll have the opportunity to work on innovative projects, gain hands-on experience, and contribute to groundbreaking advancements in the field. If you're ready to take on new challenges and make a difference, apply now and be a part of our transformative team!
What will you do as an intern at Expedition Technology?
- Learn & Develop: Delve into machine learning systems. Craft novel algorithms for applications in computer vision or digital signal processing
- Implement: Leverage Python to develop and train robust machine learning models, ensuring their efficacy in various tasks and scenarios
- Collaborate: Engage in data processing pipelines, training ML systems, analyzing outcomes, and tackling real-world issues alongside our motivated team
Key Details:
- Location: Onsite at Expedition Technology HQ, Herndon, VA.
- Compensation: $35/hr.
- Duration: Full-time (40 hours/week) Summer 2027
Is an EXP summer internship right for you?
In order to be eligible you should meet the following criteria:
- United States citizenship is required for security clearance purposes
- Currently enrolled student pursuing a college degree in computer science, electrical engineering, math, physics, or other STEM-related field
- Entering final year of an undergraduate or graduate program with an anticipated graduation date of December 2027 or May/June 2028
- Must have an active US Government-issued Secret clearance or higher
- Proficiency in modern programming languages (Python preferred)
- Familiarity with command line and version control (Git) experience
- Demonstrated interest in machine learning (courses, clubs, projects, etc.)
- Interest in working in defense and/or intelligence post-graduation
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
US
About this job
- Pay per year
- ≈ $72,800 a year
- 68% below the $229,000 median for Machine Learning jobs on Jobera (149 salaries).
- Who can apply
- United States
- Posted
- 22 days ago
Listing Details
- Posted
- September 25, 2026
- First seen
- September 26, 2026
- Last seen
- October 18, 2026
Posting Health
- Days active
- 21
- Repost count
- 0
- Trust Level
- 32%
- Scored at
- October 18, 2026
Signal breakdown
freshnesssource trustcontent trustemployer trust
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