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AI Data Scientist

PublishedPublished: 6/14/2022
Technology

Job Description

Title: AI Data Scientist

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

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Duration: Full-Time

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Pay Range: $115,000 - $140,000k

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Our 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.

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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.

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ESSENTIAL DUTIES AND RESPONSIBILITIES

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Algorithm & Model Development

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

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

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

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

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