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

RTX

1d • Remote

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? 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 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.

Requirements

• 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

Nice To Haves

• 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

Responsibilities

• 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.

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.
• 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.

What This Job Offers

• Career Level: Intern