AI/ML Research Assistant — Manufacturing Vision Systems

Carnegie Mellon University; Pittsburgh (Allegheny County); On-site; USD 25,000 - 36,000; Full time

Benefits offered by this job

Bus pass

Health insurance

Dental & vision insurance

Retirement plan with employer matching

Childcare support

Fitness center access

Job summary

Carnegie Mellon University’s Department of Mechanical Engineering is seeking a Research Assistant to contribute to AI/ML model development for manufacturing, anomaly detection, and computer vision. The role involves building systems that can detect defects and support defense-related expeditionary manufacturing initiatives.

The position emphasizes hands-on research, collaboration with internal and external partners, and delivering robust, real-world solutions within a fixed-term, full-time

Qualifications

• High School Diploma/GED required.
• 0-1 years of experience.
• Combination of education and relevant experience may be considered.

Responsibilities

• Design and develop AI/ML models — including neural networks, CNNs, and transformer architectures — tailored to manufacturing system applications.
• Build and train anomaly detection systems capable of identifying irregularities, faults, or deviations within manufacturing processes and equipment.
• Develop computer vision systems to detect and classify objects, defects, and features relevant to manufacturing quality control and inspection.
• Support expeditionary manufacturing initiatives for defense applications by integrating AI-driven detection and monitoring capabilities into manufacturing workflows.
• Conduct applied research on AI model performance, iterating architectures to improve accuracy and robustness.

Education

High School Diploma/GED

Job description

Carnegie Mellon University’s Department of Mechanical Engineering is seeking a Research Assistant to contribute to AI/ML model development for manufacturing, anomaly detection, and computer vision. The role involves building systems that can detect defects and support defense-related expeditionary manufacturing initiatives.

The position emphasizes hands-on research, collaboration with internal and external partners, and delivering robust, real-world solutions within a fixed-term, full-time