Computer Vision Engineer
Teach machines to see and understand the visual world through AI-powered image and video analysis
About the profession
Computer Vision Engineers develop AI systems that analyze images and video, object detection, facial recognition, medical imaging, autonomous driving perception, AR filters, and industrial quality inspection. They combine deep learning with classical computer vision techniques.
How to Get Started
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Based on the Computer Vision Engineer role, here are the RIASEC personality types that tend to thrive in this career. While these alignments are common, individual success depends on motivation, skill development, and finding the right work environment.
Realistic
Hands-on, practical, technical work
Investigative
Research, analysis, problem-solving
Conventional
Organizing, detail-oriented, structured
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Career Path
Your career progression roadmap with salary growth at each level
Career Ladder
CV Engineer → Senior CV Engineer → Staff/Principal → VP of Vision AI
Where are you on this career path?
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4
Levels
0K
Top Salary
10+
Years
Learning Path
Skills you need to develop and courses to get there
🚀
Set your current level first
Go to the Career Path tab and select your current level to see your personalized learning plan.
Go to Career PathCareer levels
Implement and fine-tune object detection and segmentation models Process and augment image datasets; Deploy models to production Key Skills: PyTorch/TensorFlow (70%), CNN…
Skills used in this career
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Income Dynamics
Conservative and aggressive scenarios for 10–15 years
Year 1-3: $80,000 - $115,000 Year 12+: $185,000 - $300,000+
💰 Pay for Computer Hardware Engineers
BLS OEWS, May 2023The federal survey does not count this job title on its own — it is counted under Computer Hardware Engineers (17-2061).
Half of U.S. workers in this occupation earn more than this, half earn less.
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Related Reading
Related Holland / RIASEC Types