Applied AI Engineer Intern – Summer 2027

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🏈 Ohio – Remote

🏈 Ohio – Remote

💵 $20 / hour

⏰ Full Time

⚪️ Entry-level

🤖 AI Engineer

👻 Ghost score 0%

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GE Aerospace

WebsiteLinkedInAll Job Openings

10,000+ employees

🚀 Aerospace

🏭 Manufacturing

🎖️ Defense

💰 $2G Post-IPO Debt - GE Aerospace on 2025-07

Aerospace • Manufacturing • Defense

GE Aerospace is a global aerospace company that designs, manufactures, and services jet engines, components, and integrated systems for commercial and military aircraft. Headquartered in Cincinnati, Ohio, the company operates 60+ manufacturing locations, 15+ overhaul and component repair sites, and multiple engineering centers across 24 countries, employing roughly 53,000 people. GE Aerospace invests heavily in R&D (reported $2. 75B including customer/partner funding), supports large-scale commercial aviation (3. 4 billion passengers flew with GE technology in 2024) and maintains a fleet of about 45,000 engines in service. The company emphasizes U. S. manufacturing, workforce development, and a lean operating model called FLIGHT DECK, and is a major defense supplier supporting military aviation.

📋 Description

• Develop technical solutions for engineers to evaluate and adopt data and AI solutions • Consult on architecture, implement proof of concepts, and deliver solutions for strategic business projects, including data science and machine learning systems • Build and present product architectures, write technical code, and demo applications to stakeholders • Gain hands-on experience with the Innovator Method, Game Theory, and DecisionIQ and turn customer insights into solutions that deliver real business value • Build expertise in cloud platforms, databases, data engineering, web design, AI technologies, and numerical methods • Support team members and build cross-functional relationships across the company • Ship solutions to production that meet business needs and drive impact

🎯 Requirements

• Currently enrolled in a Bachelor’s degree program in Computer Science, Aerospace Engineering, Mechanical Engineering; or a related field at an accredited university or credentialed software accelerator program • Minimum 3.7 cumulative GPA off a 4.0 scale without rounding • No prior work experience is required • Strong academic performance in Computer Science or other STEM disciplines • Experience designing AI solutions and architecting distributed data systems • Proficiency in programming and debugging with Python, C#, C++, and SQL • Customer-centric mindset with ability to lead design thinking workshops • Hands-on experience in at least one of the following areas: Machine Learning, Large Language Models (LLMs), or Computer Vision • Experience building solutions using public cloud platforms such as AWS or Azure • AWS and/or Azure certification • Legally authorized to work in the United States

🏖️ Benefits

• Relocation support and housing assistance is available for those who relocate to a new city • Travel Opportunities • Real-world project ownership • Mentorship from experienced engineers • Opportunity for return offers • Professional development • Challenging careers • Competitive compensation