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

Date Posted:

2026-03-03

Country:

United States of America

Location:

US-CT-EAST HARTFORD-ETC ~ 400 Main St ~ BLDG ETC

Position Role Type:

Onsite

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

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.

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.

• 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

What You Will Learn

• Development of at least one functioning AI prototype in sandbox environment
• Documented performance evaluation against defined baseline metrics
• Defined human-in-the-loop workflow for model validation
• Technical report detailing model architecture, assumptions, and improvement roadmap

Qualifications You Must Have

• 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

Qualifications We Prefer

• 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

Learn More & Apply Now!

This position is classified as onsite. Please ensure this role type (defined below) is appropriate for your needs before applying to this role. Candidates will learn more about role type and current site status throughout the recruiting process.

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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