The student intern will be based in Columbia and will contribute to the development of an advanced AI-powered training platform for manufacturing environments. This role focuses on integrating large language models, computer vision, and statistical analysis into a unified, intelligent guidance system for trainees.

The intern will design, build, and refine the solution on Vuzix Blade 2 smart glasses, enabling hands-free, real-time instructional support during manufacturing processes. Responsibilities include combining multiple software tools and technologies into a cohesive system aimed at improving workforce training, enhancing process accuracy, and increasing operational efficiency.

The role also involves collaborating with cross-functional teams to design and implement an innovative training ecosystem that bridges artificial intelligence, wearable technology, and industrial workflows.

• Currently enrolled as an undergraduate or graduate student in Computer Science, Computer Engineering, Data Science, or a related field. 
• Proficiency in coding with programming languages such as Python, Java, JavaScript, or C++. 
• Strong understanding of object-oriented programming (OOP) and algorithms. 
• Knowledge of software development tools, such as Git for version control. 
• Familiarity with AI/machine learning frameworks (e.g., TensorFlow, PyTorch, Keras). 
• Experience working with APIs and cloud-based services for AI integration. 
• Basic understanding of statistical analysis and data processing libraries (e.g., NumPy, Pandas). 
• Strong problem-solving skills and a passion for applying coding to real-world applications. 
• Ability to write clean, efficient, and maintainable code. 
• Effective communication skills and the ability to collaborate in a cross-functional team environment.