ML Engineer, Virtual Metrology

Project

Work done for a product or program.

• Build regression and deep learning models of film thickness, CD and overlay.
• Select features from high-dimensional sensor traces.
• Validate prediction error against measurement tolerance.
• Integrate models into run-to-run control and sampling decisions.
• Monitor model aging and tool maintenance effects.
• Report metrology savings and control benefits.

Function

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

• Combine tool trace data with metrology results for model training.

Project

1. Produce and hand over the role's key deliverables
   • Virtual metrology models
   • Feature engineering pipelines
   • Model validation reports
   • Integration into APC 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