[Hiring] Applied AI Engineering Intern @GE Aerospace

Role Description

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 AI, 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
• AI technologies
• Numerical methods

Through hands-on projects, you'll work with:

• The Innovator Method
• Game Theory
• DecisionIQ

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.

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 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.

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.

Benefits

• Real-world project ownership.
• Mentorship from experienced engineers.

Additional Information

• Relocation Assistance Provided: No.
• #LI-Remote - This is a remote position.