Computer Vision Engineer Job Description Template
Design and deploy machine learning models that interpret visual data to solve real business problems—from quality control to autonomous systems. Own the full pipeline from dataset curation through production inference.
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Why hire a Computer Vision Engineer?
SMBs increasingly need to automate visual inspection, enhance product features with image recognition, or reduce manual review work. Hiring a specialist lets them move beyond off-the-shelf tools and build competitive advantage in vision-dependent workflows.
Computer Vision Engineer salary ranges
Approximate annual gross salary bands (Q2 2026). Always adjust for your city, seniority, and the candidate’s experience.
United States
$120,000 – $180,000
United Kingdom
£95,000 – £145,000
Eurozone
€110,000 – €160,000
Computer Vision Engineer responsibilities
- Build and train neural networks (CNNs, transformers) on domain-specific image datasets to meet accuracy and latency targets
- Implement end-to-end pipelines: data labeling, augmentation, model optimization, and deployment to edge or cloud infrastructure
- Reduce model inference time and memory footprint through quantization, pruning, and architecture selection for production constraints
- Debug model failures in the field—rebalance datasets, retrain on edge cases, and iterate based on real-world performance metrics
- Collaborate with product and ops teams to define success metrics and translate business requirements into computer vision objectives
- Document model behavior, training procedures, and monitoring dashboards so non-ML staff can maintain systems post-launch
Skills & requirements
Required
- 3+ years building and deploying computer vision models in production (not just research)
- Proficiency in Python, PyTorch or TensorFlow, and modern CV libraries (OpenCV, scikit-image, mmcv)
- Hands-on experience with image classification, object detection, or semantic segmentation
- Strong grasp of model evaluation: precision, recall, F1, IoU, and cross-validation on imbalanced datasets
- Ability to work with limited or noisy data and apply data augmentation and synthetic generation techniques
- Familiarity with cloud deployment (AWS SageMaker, GCP Vertex AI, or Azure ML) or edge frameworks (ONNX, TensorRT, Core ML)
Nice to have
- Experience with 3D vision, pose estimation, or video understanding
- Track record optimizing models for mobile or embedded devices (ARM, quantization)
- Published work or open-source contributions demonstrating applied CV expertise
Copy-ready Computer Vision Engineer job description
Computer Vision Engineer [Company name] · [City], [Country] · [On-site / Hybrid / Remote] $120,000 – $180,000 (US) · £95,000 – £145,000 (UK) · €110,000 – €160,000 (EU) — gross/year
Design and deploy machine learning models that interpret visual data to solve real business problems—from quality control to autonomous systems. Own the full pipeline from dataset curation through production inference.
Why this role exists SMBs increasingly need to automate visual inspection, enhance product features with image recognition, or reduce manual review work. Hiring a specialist lets them move beyond off-the-shelf tools and build competitive advantage in vision-dependent workflows.
What you'll do
- Build and train neural networks (CNNs, transformers) on domain-specific image datasets to meet accuracy and latency targets
- Implement end-to-end pipelines: data labeling, augmentation, model optimization, and deployment to edge or cloud infrastructure
- Reduce model inference time and memory footprint through quantization, pruning, and architecture selection for production constraints
- Debug model failures in the field—rebalance datasets, retrain on edge cases, and iterate based on real-world performance metrics
- Collaborate with product and ops teams to define success metrics and translate business requirements into computer vision objectives
- Document model behavior, training procedures, and monitoring dashboards so non-ML staff can maintain systems post-launch
What you'll need
- 3+ years building and deploying computer vision models in production (not just research)
- Proficiency in Python, PyTorch or TensorFlow, and modern CV libraries (OpenCV, scikit-image, mmcv)
- Hands-on experience with image classification, object detection, or semantic segmentation
- Strong grasp of model evaluation: precision, recall, F1, IoU, and cross-validation on imbalanced datasets
- Ability to work with limited or noisy data and apply data augmentation and synthetic generation techniques
- Familiarity with cloud deployment (AWS SageMaker, GCP Vertex AI, or Azure ML) or edge frameworks (ONNX, TensorRT, Core ML)
Nice to have
- Experience with 3D vision, pose estimation, or video understanding
- Track record optimizing models for mobile or embedded devices (ARM, quantization)
- Published work or open-source contributions demonstrating applied CV expertise
What we offer
- Salary: [range, gross, with currency and time unit]
- [Equity / bonus / commission if applicable]
- [Health, PTO, learning budget, equipment — only what's real]
- [Work mode + flexibility]
About [Company] [2–3 sentences: stage, customers, traction. Keep it specific.]
Want it tailored to your company and country?
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Frequently asked
What does a Computer Vision Engineer do?
Design and deploy machine learning models that interpret visual data to solve real business problems—from quality control to autonomous systems. Own the full pipeline from dataset curation through production inference. SMBs increasingly need to automate visual inspection, enhance product features with image recognition, or reduce manual review work. Hiring a specialist lets them move beyond off-the-shelf tools and build competitive advantage in vision-dependent workflows.
What should a Computer Vision Engineer job description include?
A strong Computer Vision Engineer job post has a one-line hook, why the role exists, 6 outcome-led responsibilities, a clear list of required skills, the salary range, and a country-specific compliance line. Use the copy-ready template above as a starting point.
How much does a Computer Vision Engineer earn?
Approximate annual gross bands (Q2 2026): $120,000 – $180,000 in the US, £95,000 – £145,000 in the UK, and €110,000 – €160,000 in the Eurozone. Adjust for city, seniority, and experience.
How do I write a Computer Vision Engineer job description fast?
Use Penroll's free job description generator — enter the title and country and it produces a complete, inclusive, salary-formatted Computer Vision Engineer post in about 30 seconds, no signup required.
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