Artificial Intelligence / Machine Learning Methods Intern (Summer 2027) (Onsite)

Date Posted: 2026-09-08

 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: This job requires a U.S. Person. A U.S. Person is a lawful permanent resident as defined in 8 U.

S.C. 1101(a)(20) or who is a protected individual as defined by 8 U.S.C. 1324b(a)(3). U.S. citizens, U.S. nationals, U.S. permanent residents, or individuals granted refugee or asylee status in the U.

S. are considered U.S. persons. For a complete definition of “U.S. Person” go here. https://www.ecfr.gov/current/title-22/chapter-I/subchapter-M/part-120/subpart-C/section-120.

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 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. What You Will Do The AI/ML Methods group at Pratt & Whitney focuses on developing cutting-edge artificial intelligence and machine learning solutions to solve complex challenges in aerospace engineering, manufacturing, and operations.

As an intern, you will have the opportunity to work alongside a team of experts and contribute to impactful projects shaping the future of aviation. As an Artificial Intelligence / Machine Learning Methods Intern at Pratt & Whitney, you will….

• Collaborate with team members to design, develop, and implement AI/ML models for applications such as predictive maintenance, anomaly detection, optimization problems, or natural language processing.

• Analyze large datasets from various sources to extract insights and validate model performance. • Develop scripts or tools to automate data preprocessing, feature engineering, or model evaluation workflows.

• Document methodologies and results clearly for internal presentations or reports. What You Will Learn • This internship provides hands-on experience in applying AI/ML techniques within the aerospace industry while fostering professional growth through mentorship opportunities and exposure to real-world challenges.

• Engineering Interns at Pratt & Whitney work on challenging, meaningful, and impactful projects across our business. • Our intern program seeks to help you develop an understanding of the aerospace industry and learn about our company and its operations.

Qualifications You Must Have • Must be pursuing Bachelor’s or Advanced degree in Computer Science, Data Science Mechanical Engineering, Aerospace Engineering, Electrical Engineering, Mathematics or related Science, Technology, Engineering or Mathematics (STEM) major and actively enrolled through the completion of the internship session.

• Must have a minimum of 60 hours of credit by the start of the internship session. • Minimum 3.0 Cumulative GPA Experience may be obtained through on-the-job experience, research, coursework, or projects Qualifications We Prefer • Experience with cloud platforms (AWS/GCP/Azure) for ML workflows.

• Experience with domain-specific areas such as physics-informed ML models or digital twins is a bonus but not required. • Experience programming with Python or other relevant languages; experience with libraries like TensorFlow, PyTorch, Scikit-learn is a plus.

• Experience with machine learning algorithms (e.g., supervised/unsupervised learning) and statistical methods. • Experience working with data manipulation tools such as Pandas or NumPy; knowledge of SQL is advantageous.

• Prior RTX internship, co-op, or work experience. What We Offer • Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world.

At RTX we value: Trust, Respect, Accountability, Collaboration, and Innovation. • Relocation Eligibility Learn More & Apply Now! 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.