Technical Publications– Artificial Intelligence​/Machine Learning; AI​/ML) Technical Developer Intern; Summer

Technical Publications– Artificial Intelligence/Machine Learning (AI/ML) Technical Developer Intern

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

• Assist in development of AI/ML prototypes to support technical data analysis and process improvement
• Work with structured technical data (e.g., Ex stensible Markup Language (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
• 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, Software Engineering, Applied Mathematics, Artificial Intelligence 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 Cumulative GPA of 3.0

Experience may be obtained through on-the-job experience, research, coursework, or projects.

Qualifications We Prefer

• Experience with data preprocessing and model evaluation techniques
• Experience with natural language processing (NLP) concepts
• Experience collaborating in teams and managing tasks to meet deadlines.
• Experience with Python programming and machine learning concept
• Experience working with structured and semi-structured data
• 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