AI and Machine LearningUpdated Jun 2026

Computer Vision Engineer resume example

Q: What skills should a Computer Vision Engineer resume highlight?

A strong Computer Vision Engineer resume highlights skills like PyTorch, OpenCV, image segmentation, object detection. These align with what recruiters and ATS systems scan for first.

Builds vision-based AI systems for detection, segmentation, tracking, OCR, and image understanding. Use this example as a reference when building your own ATS-ready resume.

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Professional summary

Computer Vision Engineer with 5 years of experience building production vision systems for autonomous retail checkout. Achieved 97.3% mAP on product detection across 15K SKUs while maintaining 30 FPS on edge hardware. Skilled in PyTorch, model quantization, data augmentation, and deployment on NVIDIA Jetson platforms.

Key skills

PyTorchOpenCVimage segmentationobject detectionCNNsmodel optimization

Role details

Salary range: $125K–$190K

Domain: AI and Machine Learning

Boards: LinkedIn, Indeed, NVIDIA Careers

ATS keywords

computer visionobject detectionsegmentationOpenCVYOLO

Experience bullets example

Realistic examples of how to phrase experience for a Computer Vision Engineer resume.

01Developed a real-time product detection system achieving 97.3% mAP at 30 FPS on NVIDIA Jetson, deployed across 120+ retail locations

02Reduced model size from 280MB to 45MB through INT8 quantization and pruning, enabling edge deployment with only 3% accuracy loss

03Built an automated data annotation pipeline with active learning, reducing labeling costs by 60% while improving detection accuracy by 4.2%

Proof examples

mAP scores
inference speed
annotated dataset samples
edge deployment results

Recruiter signals

model accuracy on benchmarks
real-time performance data
dataset curation skill