Computer Vision Engineer
Technical role · involves code
Builds systems that interpret images and video — detection, segmentation, tracking and OCR — and makes them run fast enough to be useful on real footage.
Also advertised as: CV Engineer, Perception Engineer, Vision Systems Engineer.
What the job involves
- Build image-processing and convolutional-network pipelines
- Train and evaluate object detection and segmentation models
- Track objects across frames in real-time video
- Optimise inference for latency and hardware constraints
- Handle messy real-world capture: lighting, occlusion and scale
Skills this role needs
These are the actual modules taught on the track that train for this role — not a generic skills list.
- AI Foundations — optional basics (free)
- Module 0 — Foundations: Math & Tooling for Computer Vision
- CV Foundations
- Image Processing
- Feature Detection
- Deep Learning for CV
- Object Detection
- Segmentation
- Video Analysis
- Generative CV
How to train for it
Find out where you stand as a Computer Vision Engineer
Five questions, about three minutes, no account required.
Take the free skill check