To realize our full potential, RTX is committed to creating a company where all employees are respected, valued and supported in the pursuit of their goals. We know companies that embrace diversity in all its forms not only deliver stronger business results, but also become a force for good, fueling stronger business performance and greater opportunity for employees, partners, investors and communities to succeed.

The following position is to join our RTX Technology Research Center (RTRC), AI Systems Engineering team as an intern:

For more than 90 years the RTX Technology Research Center (RTRC) has operated as a multidisciplinary group of experts collaborating on groundbreaking innovations. Our team includes some of the world's leading scientists, researchers and engineers working to anticipate the discoveries destined to change everything, and they transform that research into the solutions and products that help our businesses shape the future of aerospace and defense. Our unique talent, experience and resources allow us to deliver rapid responses to critical, time-sensitive challenges and develop breakthroughs for a safer, more connected world.

The AI Systems Engineering team researches and develops solutions using model-based systems engineering, formal methods, planning, decision making, controls, machine learning, anomaly detection, computer vision, and failure analysis techniques for a variety of high impact real world problems in the aerospace, manufacturing, and defense industries.

We are looking for a Large Scale Graph Analytics intern to help develop scalable graph-based machine learning models and implement graph structures for large-scale data, incorporating geospatial and behavioral dynamics.

What You Will Do

• Develop scalable graph-based machine learning models and implement graph structures for large-scale data, incorporating geospatial and behavioral dynamics.
• Utilize advanced graph techniques, including deep graph neural networks and hypergraphs, to improve feature representation and graph embeddings for tasks like anomaly detection.
• Optimize algorithms for large datasets using distributed computing or GPU acceleration, and conduct performance experiments against traditional approaches.
• Communicate research findings through presentations, written publications, and support publication in top conferences.
• Collaborate with a focused team on graph neural networks, causal discovery, hardware accelerators, formal methods, model-based design, and deploying AI in safety-critical aerospace and defense systems, gaining exposure to broad AI/ML applications.

What You Will Learn

• Learn about broad areas of AI/ML applications in aerospace and defense within RTX.
• Exposure to industry-standard development processes and tools for executing research projects.
• Improve hands-on technical skills on large-scale data processing and AI/ML development.

Qualifications You Must Have

• Currently pursuing a Ph.D. in Mathematics, Computer Science, or a related Engineering discipline. Candidates must not graduate prior August 2025. Please submit a copy of your academic transcripts with your application.
• 2+ years of Ph.D. level research experience in broad area of graph neural networks, large scale graph analytics, and machine learning.
• 2+ years of experience training complex ML pipelines for analytics, graph neural networks for various applications.
• 1+ years of experience of ML software and coding experience in Python, SQL, and familiarity with ML frameworks like PyTorch, Tensorflow.
• 1+ years of experience in analyzing spatiotemporal time-series data.
• Must be authorized to work in the U.S. without sponsorship now or in the future. RTX will not offer sponsorship for this position.

Qualifications We Prefer

• Three to Four years of PhD level research experience in combination of the following topics: Graph Neural Networks, Time Series Modeling, Large scale Graphs, Machine learning. Publication record in top venues like CVPR, NeurIPS, ICLR, AAAI.
• Experience applying graph neural networks and large-scale graph analytics to real-world problems.
• Ability to set research direction and work independently.
• Experience with AW, Docker, Airflow.

Learn More & Apply Now!
Location: This position is in East Hartford, CT and is a hybrid role.
Please consider the following role type definition as you apply for this role:
Hybrid: Employees who are working in Hybrid roles will work regularly both onsite and offsite. Ratio of time working onsite will be determined in partnership with your leader.

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/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

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