
10,000+ employees
🏭 Manufacturing
🎖️ Defense
💼 Consulting
Manufacturing • Defense • Consulting
GE Aerospace is a world-leading provider of jet and turboprop engines, as well as integrated systems for commercial, military, business, and general aviation aircraft. The company is dedicated to advancing sustainable aviation through the development of efficient aircraft engines compatible with alternative fuels and collaborates across the industry to promote innovation and safety in flight.
🔥 0 minutes ago
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10,000+ employees
🏭 Manufacturing
🎖️ Defense
💼 Consulting
Manufacturing • Defense • Consulting
GE Aerospace is a world-leading provider of jet and turboprop engines, as well as integrated systems for commercial, military, business, and general aviation aircraft. The company is dedicated to advancing sustainable aviation through the development of efficient aircraft engines compatible with alternative fuels and collaborates across the industry to promote innovation and safety in flight.
• 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 • Turn customer insights into solutions that deliver business value • Build skills 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
• 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 • Successful completion of a drug screen (as applicable) • Employees may also be subject to random and reasonable-suspicion drug and alcohol testing
• 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
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