Senior Computer Vision Engineer for Advanced Image‑Analysis Prototype (Optics + Texture + Color)
Budget: $750 – $1,500 USD
Summary
Project: Prototype for Advanced Image‑Based Measurement System
I’m looking for a strong computer‑vision engineer to help build an early prototype of a measurement system based on subtle visual features in high‑quality images.
This is not an object‑detection or YOLO‑style project.
It requires someone who understands optics, texture analysis, reflectance behavior, and color‑space transformations, and who can work effectively with small, controlled datasets.
What you’ll do
• Explore and prototype feature‑extraction methods for fine‑grained visual patterns
• Work with a small set of high‑resolution images
• Experiment with approaches in texture analysis, reflectance modeling, and color science
• Iterate quickly to test different measurement ideas
• Provide clear reasoning behind your methods and tradeoffs
Ideal background
• Strong experience in computer vision beyond detection/segmentation
• Experience with biomedical imaging, materials imaging, reflectance, or similar domains
• Comfort with small datasets and feature engineering
• Ability to design interpretable metrics, not just train deep models
• Strong Python skills (NumPy, pandas, scikit‑image, OpenCV, etc.)
Nice to have
• Experience with color science or optical modeling
• Experience building measurement systems or scientific imaging tools
To apply, please include
1. A brief description of similar work you’ve done
2. An example of a project where you extracted subtle or continuous features from images
3. Your availability for a small paid test project
Looking forward to collaborating with someone who enjoys solving challenging imaging problems.
Project: Prototype for Advanced Image‑Based Measurement System
I’m looking for a strong computer‑vision engineer to help build an early prototype of a measurement system based on subtle visual features in high‑quality images.
This is not an object‑detection or YOLO‑style project.
It requires someone who understands optics, texture analysis, reflectance behavior, and color‑space transformations, and who can work effectively with small, controlled datasets.
What you’ll do
• Explore and prototype feature‑extraction methods for fine‑grained visual patterns
• Work with a small set of high‑resolution images
• Experiment with approaches in texture analysis, reflectance modeling, and color science
• Iterate quickly to test different measurement ideas
• Provide clear reasoning behind your methods and tradeoffs
Ideal background
• Strong experience in computer vision beyond detection/segmentation
• Experience with biomedical imaging, materials imaging, reflectance, or similar domains
• Comfort with small datasets and feature engineering
• Ability to design interpretable metrics, not just train deep models
• Strong Python skills (NumPy, pandas, scikit‑image, OpenCV, etc.)
Nice to have
• Experience with color science or optical modeling
• Experience building measurement systems or scientific imaging tools
To apply, please include
1. A brief description of similar work you’ve done
2. An example of a project where you extracted subtle or continuous features from images
3. Your availability for a small paid test project
Looking forward to collaborating with someone who enjoys solving challenging imaging problems.