1480 Micron Semiconductor Mala in Muar, Malaysia, is seeking a candidate for the Automated Defect Classification 2.0 project. The role involves collaborating with various teams, collecting data, and training advanced defect classification models to improve inspection quality.

The ideal candidate is currently pursuing a degree in Metrology, Engineering, or a related field and possesses strong analytical and communication skills. This position emphasizes teamwork and data-driven insights.

Join us to enhance defect detection and ensure efficient production processes!