Artificial Intelligence / Machine Learning Methods Intern (Summer 2027) (Onsite)
RTXAbout the role
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-120.62
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 eng
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