ML Engineer, Defect Classification

Project

Work done for a product or program.

• Collect and label defect images from inspection and review tools.
• Handle class imbalance, rare defects and label noise.
• Validate models against engineer-reviewed ground truth.
• Deploy models into inspection tool or fab review workflows.
• Monitor model performance and retrain as processes change.

Function

Work that keeps the discipline running: methods, tools, suppliers and people.

• Train and tune deep learning classifiers and detectors.
• Work with equipment vendors on tool-embedded ML.

Project

1. Produce and hand over the role's key deliverables
   • Defect classification models
   • Labeled defect datasets
   • Validation and performance reports
   • Deployment package for inspection workflows
2. Support programsGeneral
   • Agree what each program needs
   • Deliver in time for milestones
3. Manage issuesGeneral
   • Track requests to closure
   • Escalate risks

Function

1. Run the functionGeneral
   • Maintain policies and processes
   • Keep records and controls
2. ImproveGeneral
   • Report performance
   • Lead improvement work