Fall 2026, Intern/Coop: Machine Learning Researcher

Location: US-CT-EAST HARTFORD-RTRC K ~ 411 Silver Ln ~ RTRC K Position Role Type: Hybrid U.S. Citizen, U.S. Person, or Immigration Status Requirements: Must be authorized to work in the U.S. without the company’s immigration sponsorship now or in the future. The company will not offer immigration sponsorship for this position. The company will not seek an export authorization for this role. Security Clearance Type: None/Not Required Security Clearance Status: Not Required Are you ready to explore the world of aerospace and defense? Do you want to learn from and collaborate with some of the greatest minds in the industry? At RTX, our internships, co-ops and full-time careers provide an exceptional foundation to work on complex problems, advance your skills and create a safer, more connected world. Discover opportunities to make a difference at RTX. At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Join us and help shape the future of aerospace and defense. The Artificial Intelligence team researches and develops machine learning, computer vision, reinforcement learning, large language models and human computer interaction solutions for a variety of high impact real world problems in the aerospace, manufacturing and defense industries. Examples include autonomy, multi-agent coordination, cybersecurity, material discovery and design. We conduct basic and applied research in a stimulating multi-disciplinary environment where scientists, engineers, practitioners, and subject matter experts collaborate and exchange experience. We are looking for fall interns/coops to support research on large language models, with primary emphasis on agentic AI, reasoning models and verification/evaluation frameworks for LLMs and agentic systems.

Develop methods and algorithms to evaluate, verify, and improve the reasoning, planning, and decision making of large language models and LLM-based agents. Design and run experiments on GPU cluster, and benchmark performance against established baselines. Explore approaches for agentic AI, including LLM agents that can plan, reason, and interact with tools and environments in a safe and reliable manner. Detect and mitigate vulnerabilities such as hallucinations and jailbreaks. Communicate research findings through presentations, technical reports, and contributions to top-tier publications. Collaborate with a focused team on topics including safe and reliable LLM deployment, vulnerability detection, and LLM agents, gaining exposure to cutting-edge Generative AI applications What You Will Learn: Gain exposure to advanced research on LLMs and agentic systems, including planning, tool use, and interaction within complex environments. Strengthen hands-on skills in large-scale model training, evaluation, verification and safe deployment practices. Learn how to communicate research results effectively through presentations, technical writing, and potential contributions to