Machine Vision Co op Student

Job descriptions may display in multiple languages based on your language selection.

We are seeking a motivated Machine Vision co-op student to join our team on a one-year PEY. This role requires a foundational understanding of computer vision and machine learning technologies, particularly for industrial applications such as defect detection, 3D reconstruction, quality assurance, and process optimization.

Proficiency in Python and C++ is expected. A solid grasp of mathematics, statistics, machine learning techniques, data pipelines, and software development workflows is essential.

• Perform and present data analysis based on supervisor requests.

• Create data/machine learning pipelines using popular cloud platforms.

• Participate in the development and improvement of software solutions.

• Test and evaluate developed solutions.

• Undergraduate student in Mechanical Engineering, Electrical Engineering, Computer Engineering/Science, or a related discipline.

• Strong programming experience in Python and C++.

• Familiarity with Deep Learning frameworks (TensorFlow or PyTorch) and cloud platforms preferred.

• Experience with software development processes preferred.

• Experience in computer vision tasks such as image classification, object detection, semantic segmentation, or 3D reconstruction is a plus.

• Currently enrolled in a university program.

• Strong technical and analytical skills.

• Ability to approach complex engineering systems with creativity.

• Proficient in Microsoft Office (Excel, Word, Power Point).

• Strong written and verbal communication skills.

• Normal sitting or standing.

• Average mobility within an office environment.

• Ability to perform standard computer-based tasks.

• May be exposed to an automotive manufacturing environment.