Peraton

Generative AI Engineering Intern (Graduate)

Charlottesville, VA, USPosted 1 month ago

Job Description

##### About Peraton

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Visit peraton.com to learn how we’re keeping people around the world safe and secure.

##### Program Overview

Leading provider of Information Operations (IO) and Irregular Warfare (IW) capabilities to the U.S. government. Integrates Information Related Capabilities (IRC) across multiple domains, environments, and geographic boundaries, supporting both domestic and overseas operation via Information Operations planners, intelligence analysts, cultural advisors, and linguists ##### About The Role

Peraton is seeking motivated Generative AI Engineering Interns (Graduate) supporting Internal Research and Development (IRAD) initiatives focused on AI/ML-driven platforms for Operations in the Information Environment (OIE). Interns can support 100% remotely.

This open-ended graduate internship is designed to provide sustained, meaningful work experience throughout your academic program. Interns will work 40 hours per week during the summer and 20 hours per week during the academic year, with the flexibility to increase to 40 hours per week as schedules allow. In this role, you will gain hands-on experience developing and applying cutting-edge generative AI solutions, including large language models (LLMs), prompt engi...

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