Скачать или смотреть Computer Vision Engineer: Skills, Jobs, Pay

A Computer Vision Engineer builds systems that help machines “see” and understand images and video—powering everything from facial recognition to self-driving cars and medical imaging.

🧠 Core Skills

Programming & ML
Python (must-have), C++ (performance-critical work)
Deep learning frameworks: PyTorch, TensorFlow
Classical ML + modern DL (CNNs, Transformers, diffusion)

Computer Vision Techniques

Image processing (OpenCV, scikit-image)
Object detection, segmentation, tracking
3D vision, SLAM, stereo vision (for robotics/autonomy)

Math & Foundations

Linear algebra, probability, optimization
Signal processing basics

Data & Deployment

Dataset labeling/augmentation
Model optimization (ONNX, TensorRT)
Edge/real-time deployment (Jetson, mobile)

💼 Job Titles & Where They Work

Common Roles

Computer Vision Engineer
Machine Learning Engineer (Vision focus)
Applied Scientist (Vision)
Robotics Vision Engineer
Perception Engineer (Autonomy)

Top Industries

Autonomous vehicles & drones
Healthcare & medical imaging

Security & biometrics

Manufacturing (quality inspection)
AR/VR, gaming, retail analytics

💰 Pay (Typical Ranges, U.S.)

Entry-level: $90k – $120k
Mid-level: $120k – $160k
Senior / Lead: $160k – $200k+
Top tech / autonomy startups: $220k+ (total comp with equity)
Remote roles and high-impact niches (autonomy, healthcare AI) often pay at the top of the range.

🚀 Career Tips

Build portfolio projects (object detection, video analytics, 3D vision).
Compete in Kaggle or publish small demos on GitHub.
Learn model optimization—it’s a huge differentiator.
Follow research (CVPR, ICCV, ECCV) to stay current.

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🔎 HASHTAGS:
#computervision #ImageProcessing #DeepLearning #MachineLearning
#NeuralNetworks

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