AI Data Scientist

The AI Data Scientist will focus on developing state-of-the-art Automated Defect Classification (ADC) and Die-to-Database (DB) comparison algorithms, transforming advanced mathematical modeling into real-world industrial intelligence. Die-to-Database (DB) Comparison Develop high-precision image registration, geometric alignment, and image matching algorithms to compare captured optical images against CAD database layouts.

Our client is seeking an AI Data Scientist for a direct hire opportunity in North Phoenix, AZ or Hillsboro, OR. This role sites onsite 4 days a week and 1 day will be remote.

The AI Data Scientist  will focus on developing state-of-the-art Automated Defect Classification (ADC) and Die-to-Database (DB) comparison algorithms, transforming advanced mathematical modeling into real-world industrial intelligence.

ESSENTIAL DUTIES AND RESPONSIBILITIES

Algorithm & Model Development

• Design, train, and optimize deep learning and computer vision models for automated defect detection and classification.
• Develop object detection and image classification algorithms to identify micro-scale defects such as particles, scratches, and pattern anomalies.

Die-to-Database (DB) Comparison

• Develop high-precision image registration, geometric alignment, and image matching algorithms to compare captured optical images against CAD database layouts.
• Improve alignment accuracy and robustness under varying imaging conditions.

Advanced Data Analytics

• Apply statistical modeling, signal processing, denoising, and feature extraction techniques to improve image quality and inspection accuracy.
• Analyze large, noisy datasets to optimize signal-to-noise ratio and model performance.

Model Development & Continuous Improvement

• Evaluate model performance using real-world inspection data and analyze edge cases.
• Improve model accuracy through iterative training, active learning, and few-shot learning techniques.
• Collaborate with software engineers, field application teams, and domain experts to deploy and validate production-ready AI models.

Miscellaneous Responsibilities

• Document algorithms, experiments, and model performance results.
• Participate in code reviews, technical discussions, and knowledge sharing.
• Assist with data preparation, annotation, validation, and quality assurance.
• Stay current with advances in computer vision, machine learning, and AI technologies.
• Collaborate with cross-functional teams to support product development and model deployment.
• Perform other duties as assigned.