Applied AI Engineer Intern – Summer 2027 (May/June Start)

About the role

At GE Aerospace, our AI engineers don’t just support projects — they help drive them. From day one, interns and co-ops take on real-world challenges, owning work from start to finish and building solutions that connect data, tools, cloud, AI, and engineering to advance the future of flight. You'll build expertise in cloud platforms, databases, data engineering, web design, AI 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.

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 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.

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.
• Minimum 3.7 cumulative GPA off a 4.0 scale without rounding.
• No prior work experience is required.

Desired Characteristics

• 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.

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.

Pay

Pay rates for this position begin at $20/hour and increase for each undergraduate year completed.

Schedule

This is a remote position.