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AIML Engineering Intern 28587


Job Location:

Howard County, MD - USA

Monthly Salary: $ 51706 - 70000
Posted: 20 May 2026 (30+ days ago)
Application Deadline: 17 August 2026
Vacancies: 1 Vacancy
The job posting is outdated and position may be filled

Job Summary

Requisition Number:28587

Required Travel: 0 - 10%

Employment Type:Full Time/Salaried/Exempt

Anticipated Salary Range:$51706.00-$70000.00

Security Clearance:Ability to Obtain

Level of Experience:Senior

This opportunity resides with Warfare Systems (WS) a business group within HIIs Mission Technologies division. Warfare Systems comprises cyber and mission IT; electronic warfare; and C5ISR systems.

HII works within our nations intelligence and cyber operations communities to defend our interests in cyberspace and anticipate emerging threats. Our capabilities in cybersecurity network architecture reverse engineering software and hardware development uniquely enable us to support sensitive missions for the U.S. military and federal agency partners.

Meet HIIs Mission Technologies Division
Our team of more than 7000 professionals worldwide delivers all-domain expertise and advanced technologies in service of mission partners across the globe. Mission Technologies is leading the next evolution of national defense the data evolution - by accelerating a breadth of national security solutions for government and commercial customers. Our capabilities range from C5ISR AI and Big Data cyber operations and synthetic training environments to fleet sustainment environmental remediation and the largest family of unmanned underwater vehicles in every class. Find the role thats right for you. Apply today. We look forward to meeting you.

To learn more about Mission Technologies click here for a short video: Description

The AI/ML Engineering Intern will support the development testing and deployment of machine learning models and AI-driven solutions. Working under the guidance of senior engineers and data scientists this role contributes to real-world projects involving data processing model experimentation and software integration. The ideal candidate is curious analytical and eager to learn modern AI and machine learning techniques in a practical collaborative environment.