3 days ago
Remote, Worldwide or Atlanta, GA, USAIntern
H1B Sponsor
Responsibilities
- Develop technical solutions that help engineers evaluate and adopt data and AI solutions.
- Consult on architecture, implement proof-of-concepts, and deliver data science and machine learning systems.
- Build and present product architectures, write technical code, and demo applications to stakeholders.
- Apply the Innovator Method, Game Theory, and DecisionIQ to turn customer insights into business solutions.
- Develop skills in cloud platforms, databases, data engineering, web design, AI technologies, and numerical methods.
- Build cross-functional relationships and ship production solutions that meet business needs.
Requirements
- Currently enrolled in a bachelor's degree program in Computer Science, Aerospace Engineering, Mechanical Engineering, or a related field, or enrolled in a credentialed software accelerator program.
- Minimum 3.7 cumulative GPA on a 4.0 scale without rounding.
- No prior work experience is required.
- Strong academic performance in Computer Science or another STEM discipline is preferred.
- Preferred experience includes designing AI solutions, architecting distributed data systems, programming and debugging with Python, C#, C++, and SQL, and building solutions with AWS or Azure.
- Hands-on experience with Machine Learning, Large Language Models, or Computer Vision is preferred.
- AWS or Azure certification is preferred.
Benefits
- Remote work arrangement.
- Pay begins at $20 per hour and increases with each undergraduate year completed.
- Relocation support and housing assistance are available for those who relocate to a new city.
- Travel opportunities, real-world project ownership, mentorship from experienced engineers, and potential return offers.
- Spring 2027 co-op with a January start.
About GE
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