Principal AI Computer Vision Engineer

What you'll do

• Develop, train, validate, and optimize computer vision models for manufacturing applications like inspection and anomaly detection.
• Lead image dataset activities including collection, annotation strategies, quality assessment, and curation to ensure robust model performance.
• Partner with manufacturing sites to identify data requirements and execute model training activities.
• Deploy computer vision models using the Analytics for Manufacturing Imaging (AMI) platform.
• Collaborate with integration teams to implement end-to-end solutions involving image acquisition, execution, and monitoring workflows.
• Create and maintain reusable datasets, model templates, and evaluation methodologies to accelerate future implementations.
• Coach and mentor site engineers and project teams on AI best practices and computer vision development.
• Develop training materials, workshops, and technical documentation to improve adoption across manufacturing sites.

What we're looking for

• Hold a bachelor’s degree with 7+ years of experience or an advanced degree with 5+ years of experience.
• Possess 3+ years of experience applying AI, analytics, and computer vision solutions in manufacturing, automation, or operations.
• Possess 3+ years of experience developing, training, and deploying computer vision models in production environments.
• Experience with industrial machine vision software such as MVTec HALCON (preferred).
• Experience with model evaluation, validation, explainability, performance monitoring, and lifecycle management (preferred).
• Experience collecting, curating, annotating, and managing image datasets for industrial AI applications (preferred).
• Knowledge of traditional machine vision techniques like geometric measurement, feature extraction, and OCR/OCV (preferred).
• Work authorization at the time of hire and for the duration of employment.