About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Artificial Intelligence and IT System Data Services.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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What You’ll Do

The Confidential Client is seeking an AI Data Scientist to develop and deploy advanced algorithms for Automated Defect Classification (ADC) and Die‑to‑Database (DB) comparison in industrial optical inspection systems. Responsibilities include:

• Design, train, and optimize deep learning and computer-vision models for automated defect detection and classification.
• Develop object-detection and image-classification approaches to identify microscopic defects (particles, scratches, pattern anomalies).
• Build high‑precision image registration, geometric alignment, and image‑matching algorithms to compare captured optical images with CAD/database layouts.
• Improve image-alignment accuracy and algorithm robustness across varying imaging conditions.
• Apply statistical modeling, signal-processing, denoising, and feature-extraction techniques to improve image quality and inspection accuracy.
• Analyze large, noisy datasets to improve signal-to-noise ratios and model performance.
• Evaluate model performance on real-world inspection data; investigate and resolve edge cases.
• Improve model accuracy through iterative training approaches, active learning, and few‑shot learning techniques.
• Collaborate with software engineers, field applications teams, and domain experts to validate and deploy production-ready models.
• Document algorithms, experiments, datasets, and model-performance results; participate in code reviews and technical discussions.
• Support data preparation, annotation, validation, and QA activities.
• Stay current with developments in computer vision, machine learning, and AI relevant to industrial inspection.

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Preferred Qualifications

We encourage candidates who can demonstrate experience in the following areas:

• Hands-on experience designing and training computer-vision / deep-learning models for defect detection or similar image-analysis problems.
• Experience developing image-registration, alignment, and image-matching algorithms for high-precision applications.
• Background in statistical modeling, signal processing, denoising, and feature extraction for imaging data.
• Experience working with large, noisy datasets and applying techniques to improve signal-to-noise and model robustness.
• Familiarity with iterative training workflows, active learning, and few‑shot learning strategies.
• Strong problem-solving skills and the ability to collaborate across engineering and domain‑expert teams.
• Clear documentation and communication of experiments, results, and deployment considerations.

(If you have formal education in a quantitative field or prior experience in industrial inspection applications, please highlight that in your application—but a specific degree is not required unless listed by the Confidential Client.)

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Technical Focus Areas

• Computer vision & deep learning for automated defect detection and classification
• Image processing: registration, geometric alignment, image matching, denoising, feature extraction
• Statistical analysis and signal-processing for large, noisy inspection datasets
• Model evaluation, edge-case investigation, iterative training, active learning, few‑shot learning
• Production validation and cross-functional collaboration to deploy models into field use

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Work Arrangement

• Employment type: Full-time, direct-hire.
• Locations: Based in either North Phoenix, Arizona or Hillsboro, Oregon.
• Schedule: On-site four days per week, with one remote workday.
• Note: This position will work closely with engineering and field teams and requires the ability to be on-site per the schedule above.

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Compensation & Benefits

• Salary range: $115,000–$140,000 per year.
• Benefits (inferred from the posting): medical, vision, dental, and 401(k) offering.
• The Confidential Client complies with applicable state and federal pay-transparency laws where required.

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Keywords & Search Terms (for candidates)

• AI Data Scientist
• computer vision deep learning
• automated defect detection
• image registration image matching
• statistical modeling signal processing
• active learning few-shot learning
• North Phoenix, AZ / Hillsboro, OR

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.