Computer Vision Engineer

Summary

We Make Change is a startup focused on using AI to save lives from cervical cancer. The Computer Vision Engineer will optimize computer vision techniques for analyzing cervical images, contributing to a tool that empowers healthcare providers in low-resource settings to deliver high-quality screening.

Responsibilities

• Develop domain-specific feature extraction pipelines
• Experiment with: Transfer learning (EfficientNet, ResNet, Swin Transformers)
• Feature engineering vs end-to-end learning
• Build and test augmentation strategies tailored to medical imaging
• Analyze model failures and identify visual patterns causing misclassification
• Collaborate across preprocessing and modeling pipelines

Skills

• Strong experience in computer vision and deep learning
• Proficiency in PyTorch or TensorFlow
• Understanding of CNNs and Vision Transformers
• Experience debugging model performance using visual analysis
• Experience with medical imaging or diagnostic systems
• Knowledge of interpretability methods (Grad-CAM, saliency maps)
• Familiarity with small dataset optimization techniques
• Experience with healthcare AI, low-resource environments, or global health applications is a strong plus
• Candidates should be comfortable working in fast-paced, early-stage environments

Qualifications

Must Haves

• Strong experience in computer vision and deep learning
• Proficiency in PyTorch or TensorFlow
• Understanding of CNNs and Vision Transformers
• Experience debugging model performance using visual analysis

Nice to Haves

• Experience with medical imaging or diagnostic systems
• Knowledge of interpretability methods (Grad-CAM, saliency maps)
• Familiarity with small dataset optimization techniques
• Experience with healthcare AI, low-resource environments, or global health applications is a strong plus
• Candidates should be comfortable working in fast-paced, early-stage environments