computer vision engineer

Computer vision engineers research, design, develop, and train artificial intelligence algorithms and machine learning primitives that understand the content of digital images based on a large amount of data. They apply this understanding to solve different real-world problems such as security, autonomous driving, robotic manufacturing, digital image classification, medical image processing and diagnosis, etc.

The most in-demand skills for this role include computer simulation, computer programming, machine learning, image recognition, data engineering, scientific computing. These are the skills O*NET identifies as most important for competent performance.

Our AI-durability model gives computer vision engineer a score of 0.55 on a 0-1 scale (higher = more exposure). That places it at moderate AI exposure — some tasks are being automated but the role adapts. Learning to work with AI tools rather than against them is the path forward.