AI Data Scientist

Location: North Phoenix, AZ or Hillsboro, OR (onsite)

Duration: Full-Time

Pay Range: $115,000 - $140,000kOur client is seeking an AI Data Scientist for a direct hire opportunity in North Phoenix, AZ or Hillsboro, OR. This role requires working 4 days a week onsite and 1 day 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 RESPONSIBILITIESAlgorithm & 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.