Note: The job is a remote job and is open to candidates in USA. GE Aerospace is an aerospace company advancing engineering and the future of flight through data, cloud, AI, and engineering solutions. The Applied AI Engineer Intern will develop technical solutions, consult on architectures, implement proof-of-concepts, and deliver data science and machine learning systems. The intern will also write technical code, present product architectures, collaborate cross-functionally, and help ship production solutions that meet business needs.
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 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
Skills
- 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
- GE Aerospace will only employ those who are legally authorized to work in the United States for this opening
- 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
- Remote position
Company Overview