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Computer Vision Engineer

Also known as: CV Engineer, Vision ML Engineer, Perception Engineer, Image Processing Engineer

AI Impact Score

35/100

Computer vision engineers are both creators and beneficiaries of AI progress. Foundation models like SAM, CLIP, and DINO have dramatically changed what is possible, but designing perception systems for real-world deployment — with robustness, latency, and safety constraints — remains a highly specialised and human-intensive discipline.

$120k – $250k

Salary Range

booming

Growth Outlook

65,000

Total Jobs (US)

+38%

Growth Rate

Task Breakdown

Tasks at Risk (4)

Dataset labelling review and QAStandard model evaluation scriptingBasic data augmentation pipelinesRoutine benchmark reporting

AI-Enhanced Tasks (4)

Model selection and architecture searchSynthetic data generationFailure mode analysisTransfer learning and fine-tuning workflows

Human-Safe Tasks (4)

Perception system architecture for safety-critical applicationsNovel dataset design and curationEdge deployment optimisationMulti-modal fusion system design

Current Skills

Python (PyTorch, OpenCV)CNN and transformer architecturesDataset curation and annotation pipelinesModel training and evaluationCUDA and GPU optimisation

Future-Proof Skills

Foundation model fine-tuning (SAM, CLIP, DINO)Synthetic data generation (NeRF, diffusion)Edge deployment (TensorRT, ONNX, OpenVINO)Multi-modal vision-language models3D scene understanding

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