Intern: 2026 - Technical Publications: Artificial Intelligence/Machine Learning Technical Developer (Onsite)

RTX • East Hartford, CT

13h • Onsite

About The Position

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. Pratt & Whitney is working to once again transform the future of flight—designing, building, and servicing engines unlike any the world has ever seen. And because transformation begins from within, we’re seeking the people to drive it. So, calling all curious. Come ready to explore and you’ll find a place where your talent takes flight—beyond the borders of title, a country, or your comfort zone. Bring your passion and commitment and we’ll welcome you into a tight-knit team that takes our mission personally. Channel your drive to make a difference into shaping an organization and an industry that’s evolving fast to the future. At Pratt & Whitney, the difference you make is on display every day. Just look up. Are you ready to go beyond? What You Will Do Support the prototyping and evaluation of Artificial Intelligence (AI)/Machine Learning (ML) solutions within Technical Publications to improve quality, efficiency, and data consistency in a highly structured engineering documentation environment. This role will focus on hands-on model development, experimentation, and performance evaluation in a sandbox environment.

Requirements

• Enrolled in a degree program in Computer Science, Data Science, Software Engineering, Applied Mathematics, Artificial Intelligence, or related technical field
• Experience with Python programming
• Basic understanding of machine learning concepts
• Ability to work with structured and semi-structured data
• U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

Nice To Haves

• Experience with data preprocessing and model evaluation techniques
• Exposure to natural language processing (NLP) concepts
• Familiarity with version control tools
• Strong debugging and analytical skills
• Ability to operate in a fast-paced, dynamic engineering environment
• Strong teamwork, communication, and time management skills
• Minimum GPA of 3.0

Responsibilities

• Assist in development of AI/ML prototypes to support technical data analysis and process improvement
• Work with structured technical data (e.g., XML-based documentation) to prepare datasets for analysis
• Develop and test machine learning models for classification, pattern recognition, or anomaly detection
• Evaluate model performance using measurable metrics (precision, recall, false positive rate)
• Build scripts and tools to support exploratory data analysis and preprocessing
• Support integration of AI-assisted outputs into a human-in-the-loop review workflow
• Document model assumptions, limitations, and improvement opportunities
• Collaborate with technical publications, quality assurance, and engineering stakeholders to validate prototype outputs

Benefits

• 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.
• 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.

What This Job Offers

• Career Level: Intern
• Education Level: No Education Listed