ML/NLP Research Engineering Intern
Dunedain
Location
🇺🇸 Austin, United States
Type
intern
Salary
Undisclosed
Posted
3w ago
Job Description
ML/NLP Research Engineering Intern Dunedain Systems | Hybrid (Austin, TX or Pittsburgh, PA)| Summer 2026 Internship May 26 - August 15, 2026 (12 weeks) | Project Completion Bonus About Dunedain Dunedain builds AI-powered planning and decision tools for military units. Our platform combines frontier language models, retrieval systems, and agentic workflows into mission-ready software that works in disconnected, classified environments. We're a veteran-founded startup backed by Tier 1 venture capital, with active pilots across the military.
The Role
We're looking for a motivated ML/NLP Research Engineering Intern to join our founding team for Summer 2026. You'll bring expertise and state-of-the-art research into the system, underpinning the tools and infrastructure that our AI agents rely on every day. You will be contributing to advancing the Deep Learning, Machine Learning, and NLP capabilities of our models through novel architectures, designs, and experimentation. This isn't a sandbox internship. This is research designed to have world-class impact. The research you do and models you create will ship to operational military units. You'll work directly alongside our founding engineers, own real projects from day one, and leave the summer with research production experience that most interns don't get until years into their career. You will also have the opportunity to present findings to the team, communicating the scientific process, experiments, and differentials. While the compensation for
the role
is constrained to a project completion bonus as we are a high-growth start-up, we are committed to the following
benefits
to ensure a great experience: • Veteran Led-team Mentorship: Learn from a mix of veterans and subject matter experts on state-of-the-art customer • Clear, defined research goals, that you will be able to take ownership of and responsibility for reporting • Practice ML/NLP Research Writing and Presentations, based on the most recent domain publications, and networking with academic researchers • Exploration of the frontier of Machine Learning and AI for Defense (not just Research Engineering)