Fall 2026, Intern/Coop: Machine Learning Researcher

About the role

The Artificial Intelligence team at RTX researches and develops machine learning, computer vision, reinforcement learning, large language models, and human-computer interaction solutions for high-impact real-world problems in aerospace, manufacturing, and defense industries. We focus on autonomy, multi-agent coordination, cybersecurity, material discovery and design.

Responsibilities

• 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 clusters, 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.

Qualifications

• Currently pursuing an MS/Ph.D. in Computer Science, Mathematics, or a related Engineering discipline.
• Candidates must work a minimum of 6 months in a co-op role.
• 1+ years of MS/Ph.D.-level research experience in areas such as large language models, reasoning, post-training/fine-tuning techniques, robustness/vulnerability detection, formal verification.
• 1+ years of machine learning software development experience in Python, with familiarity in deep learning frameworks such as PyTorch or TensorFlow.
• Publication record in top AI/ML venues such as NeurIPS, ICML, ICLR, ACL, or similar.
• Demonstrated ability to set research direction, work independently, and contribute to collaborative team efforts.