Intern: Summer 2026 - AI/ML Engineering Methods (Remote)

Date Posted:

2026-02-26

Country:

United States of America

Location:

US-CT-REMOTE

Position Role Type:

Remote

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.

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?

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. 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.

What You Will Do

• 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

• 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.
• 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.

Qualifications You Must Have

• Enrolled in a degree program in Computer Science, Data Science, Engineering (Mechanical/Aerospace/Electrical), Mathematics, or a related field.
• Minimum Cumulative GPA of 3.0

Qualifications We Prefer

• Experience in Python or other relevant languages
• Experience with machine learning algorithms (e.g., supervised/unsupervised learning) and statistical methods
• Experience applying AI/ML in aerospace context
• Experience with cloud platforms (AWS/Azure) for ML workflows
• Experience working with data manipulation tools such as Pandas or NumPy
• Experience with libraries like TensorFlow, PyTorch, Scikit-learn

Learn More & Apply Now!

This position is classified as Remote. 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.

Remote: Employees who are working in Remote roles will work primarily offsite (from home).

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.

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