AI Welding Seam Quality Inspection Developer

About the role

Responsibilities

• Train weld defect detection models covering the standard weld defect taxonomy across weld types and materials
• Build appearance variation handling for MIG, TIG, spot, and laser weld configurations
• Implement detection threshold strategy minimizing false negatives under asymmetric cost requirements
• Develop model adaptation pipeline for new weld configurations without full retraining
• Create weld inspection report generation connecting defect detections to quality management systems
• Monitor field false negative rates as the primary model quality metric

Requirements

• 3+ years in computer vision engineering with industrial inspection, defect detection, or quality control experience
• Strong Python and PyTorch skills with object detection and segmentation model development
• Understanding of weld metallurgy, defect taxonomy, and quality inspection standards (preferred)
• Experience tuning detection thresholds for asymmetric precision-recall requirements
• Ability to work with manufacturing engineers and certified weld inspectors on validation protocols

Benefits

• Fully remote engineering role with occasional factory visit travel
• Health and dental insurance
• $2,500 annual professional development budget
• 401(k) with match
• Equity options

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