GE AerospaceRemote
Applied AI Engineer Co-op – Fall 2026 (September Start)
United States of America
Full Time
3 weeks ago
No H1B
Key skills
AI solution designDistributed data systems architecturePythonC#C++SQLMachine LearningLarge Language ModelsComputer VisionAWSAzureAWS certificationAzure certificationCustomer-centric mindsetCAIData Engineering
About this role
GE Aerospace is tackling complex engineering challenges in the aerospace sector, and they are seeking an Applied AI Engineer Co-op for Fall 2026. The role involves developing technical solutions that integrate data and AI, consulting on architecture, and delivering impactful solutions through hands-on projects.
Responsibilities:
- Develop technical solutions for engineers to evaluate and adopt data and AI solutions
- Consult on architecture, implement proof of concepts and deliver solutions for business strategic 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
- Sharpen your skills in cloud platforms, databases, data engineering, web design, AI technologies, and numerical methods
- Use your strengths to support team members and build cross-functional relationships across the company
- Work to 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