Date Posted:
2026-02-23Country:
United States of AmericaLocation:
US-CT-EAST HARTFORD-RTRC K ~ 411 Silver Ln ~ RTRC KPosition Role Type:
HybridU.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 RequiredSecurity Clearance Status:
Not RequiredAre you ready to explore the world of aerospace and defense? Do you want to learn from and collaborate with some of the brightest minds in the industry? At RTX, our internships, co-ops, and full-time careers provide an exceptional foundation to tackle complex problems, advance your skills, and contribute to creating a safer, more connected world. Discover opportunities to make a difference at RTX.
The Advanced Learning and Analytics team researches and develops solutions in machine learning, computer vision, reinforcement learning, large language models, and human-computer interaction for a variety of high-impact, real-world problems in the aerospace, manufacturing, and defense industries. Examples include autonomy, multi-agent coordination, cybersecurity, and 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 share expertise.
We are seeking summer interns to support research on large language models, with a primary focus on agentic AI, reasoning models, and verification/evaluation frameworks for LLMs and agentic systems.
What You Will Do
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Develop methods and algorithms to evaluate, verify, and enhance reasoning, planning, and decision-making capabilities of large language models (LLMs) and LLM-based agents.
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Design and execute experiments on GPU clusters, benchmarking performance against established baselines.
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Explore approaches for agentic AI, focusing on LLM agents capable of planning, reasoning, and interacting with tools and environments in a safe and reliable manner.
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Detect and mitigate vulnerabilities, including hallucinations and jailbreaks.
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Present research findings through presentations, technical reports, and contributions to top-tier publications.
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Collaborate with a dedicated team on topics such as safe and reliable LLM deployment, vulnerability detection, and LLM agents, while gaining exposure to cutting-edge Generative AI applications.
What You Will Learn
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Gain in-depth knowledge of advanced research on LLMs and agentic systems, including planning, tool use, and interaction within complex environments.
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Strengthen hands-on skills in large-scale model training, evaluation, verification, and safe deployment practices.
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Enhance your ability to effectively communicate research results through presentations, technical writing, and potential contributions to top-tier AI/ML conferences.
Qualifications You Must Have
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Currently pursuing a Ph.D. in Computer Science, Mathematics, or a related Engineering discipline, with graduation no earlier than December 2026. Please include a copy of your academic transcripts with your application.
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At least 1 year of Ph.D.-level research experience in areas such as large language models, reasoning, post-training/fine-tuning techniques, robustness/vulnerability detection, or formal verification.
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At least 1 year of experience in machine learning software development using Python, with familiarity in deep learning frameworks such as PyTorch or TensorFlow.
Qualifications We Prefer
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A strong publication record in top AI/ML venues such as NeurIPS, ICML, ICLR, ACL, or AAAI.
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Proven ability to set research direction, work independently, and contribute effectively to collaborative team efforts.
Learn More & Apply Now!
Location: This position is in East Hartford, CT and is an onsite role.
Please consider the following role type definition as you apply for this role:
Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.
As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.
The salary range for this role is 37,000 USD - 82,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.
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