AI Data Scientist (WFH)

Torentify; United States; Híbrido; USD 115 000 - 140 000; Tempo integral

Resumo da oferta

Torentify is seeking an AI Data Scientist to develop advanced computer vision and machine learning solutions for industrial inspection. This role focuses on Automated Defect Classification and Die-to-Database comparisons to improve inspection accuracy.

You will design and optimize deep learning models, implement image registration and matching against CAD layouts, and analyze large datasets to boost model performance.

Descrição da oferta de emprego

About the Role

Our client is seeking an AI Data Scientist to develop advanced computer vision and machine learning solutions for industrial inspection. This role focuses on Automated Defect Classification (ADC) and Die-to-Database (DB) comparison algorithms, applying mathematical modeling and AI techniques to identify defects and improve inspection accuracy.

You will develop and optimize deep learning models, design image registration and matching algorithms, and analyze complex datasets to improve model performance. Working with software engineers, field application teams, and domain experts, you will help validate and deploy production-ready AI models.

Key Responsibilities

Algorithm and 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 microscopic defects, including particles, scratches, and pattern anomalies.

Die-to-Database Comparison

• Develop high-precision image registration, geometric alignment, and image matching algorithms to compare captured optical images with CAD database layouts.


• Improve alignment accuracy and algorithm 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 improve signal-to-noise ratios and model performance.

Model Evaluation and Continuous Improvement

• Evaluate model performance using real-world inspection data and investigate 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.

Documentation and Collaboration

• Document algorithms, experiments, and model performance results.


• Participate in code reviews, technical discussions, and knowledge-sharing activities.


• Assist with data preparation, annotation, validation, and quality assurance.


• Stay informed about developments in computer vision, machine learning, and artificial intelligence.


• Work with cross-functional teams to support product development and model deployment.


• Perform other duties as assigned.

Employment Details

• Job Title: AI Data Scientist.


• Locations: North Phoenix, Arizona, or Hillsboro, Oregon.


• Employment Type: Full-time, direct hire.


• Work Arrangement: Onsite four days per week and remote one day per week.


• Salary: $115,000–$140,000 per year.