AT, DE + 1 moreJob Description Summary
At GE Aerospace, we tackle some of the world's most complex engineering challenges. Our engineers rely on software developers to bridge data, tools, and cutting-edge technologies like cloud and Al, unlocking new possibilities and advancing the future of flight.As an Applied AI Engineering Intern, you'll build expertise in cloud platforms, databases, data engineering, web design, Al technologies, and numerical methods to solve real-world engineering problems. Through hands-on projects, you'll work with the Innovator Method, Game Theory, and DecisionIQ, turning customer insights into impactful solutions. You'll have the opportunity to learn, contribute, and bring real business value and help shape the future of aerospace design.
This fully remote internship is scheduled to start in September 2026 and will run for a period of three months. An earlier start date can be discussed.
Job Description
What You will Do
- 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 solution 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.
Our culture thrives on innovation, diversity, and deep collaboration. You’ll contribute as both a learner and a builder, helping us push the design frontier in aerospace.
Qualifications
- 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.
- 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
Desired Characteristics
- AWS and/or Azure certification
About The Internship
- Location: Remote
- Real-world project ownership
- Mentorship from experienced engineers
Additional Information
Relocation Assistance Provided: No
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