Equipment Engineering AI Vision Engineer Intern

About the role:

The Artificial Intelligence Intern’s job will be to assist senior engineers with the execution of Artificial Intelligence projects targeted towards image-based quality inspections on the factory floor. These projects may be in various phases: concepting, image collection, software development, and testing. The focus is on practical applications of emerging technologies such as high-resolution 2D imaging, 3D Laser Scanning, Visual AI, and other technologies on the factory floor.

Your responsibilities will include:

• Support senior engineers in the development and execution of AI-driven image inspection systems for manufacturing applications
• Contribute to various project phases, including concept development, image acquisition, software implementation, and system testing
• Manage 2–3 concurrent projects, maintaining clear priorities and delivering results on schedule
• Conduct independent testing of vision systems and algorithms, documenting results with accuracy and clarity
• Assist in integrating technologies such as high-resolution 2D imaging, 3D laser scanning, and Visual AI into factory-floor solutions
• Collaborate with cross-functional teams to understand inspection requirements and translate them into practical, scalable solutions
• Apply programming skills to develop and refine machine vision tools and inspection workflows
• Learn and apply best practices in machine learning, computer vision, and automation within a regulated manufacturing environment
• Participate in continuous improvement efforts to enhance inspection accuracy, system reliability, and operational efficiency

Required Qualifications:

• Current rising junior or rising senior (grad dates between Dec 2027 - May 2029)
• Pursuing a Bachelors or Masters degree in Computer Engineering, Software Engineering, or Computer Science
• Must be able to start internship on May 17th or 24th, 2027 and work for 12 weeks
• Must have reliable transportation to/from work.
• Former Boston Scientific Intern
• Experience using a variety of programming languages such as Python, Kotlin, or Java
• Experience doing design projects (multi-semester projects preferred)
• Previous hands-on work experience with artificial intelligence, machine learning, or machine vision

Preferred Qualifications:

• Medical device industry experience
• Able to learn independently about new technologies or platforms
• Able to work and collaborate with team members

• Excellent written and oral communications skills
• Experience with Society of Automotive Engineers, Robotics, or other extracurricular project teams.