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Computer Vision Scientist

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April 13, 2024 Updated April 21, 2025 14 minute read

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Becoming a Computer Vision Scientist

Computer Vision Scientists are at the forefront of teaching machines to "see" and interpret the visual world. This rapidly evolving field within Artificial Intelligence (AI) combines computer science, machine learning, and image processing to enable computers to analyze images and videos, extracting meaningful information much like humans do. The applications are vast, influencing everything from how we drive our cars to how doctors diagnose diseases.

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Salaries for Computer Vision Scientist

City

25th Percentile

50th Percentile

75th Percentile

Median

New York

$198,000

$262,000

$335,000

$262,000

San Francisco

$216,000

$284,000

$376,000

$284,000

Seattle

$148,000

$174,000

$217,000

$174,000

See all salaries

City

25th Percentile

50th Percentile

75th Percentile

Median

New York

$198,000

$262,000

$335,000

$262,000

San Francisco

$216,000

$284,000

$376,000

$284,000

Seattle

$148,000

$174,000

$217,000

$174,000

Austin

$148,000

$190,000

$236,000

$190,000

Toronto

$112,000

$142,000

$183,000

$142,000

London

£60,000

£77,000

£100,000

£77,000

Paris

€59,000

€61,000

€86,000

€61,000

Berlin

€110,000

€135,000

€173,000

€135,000

Tel Aviv

₪407,000

₪472,000

₪641,000

₪472,000

Singapore

S$130,000

S$186,000

S$260,000

S$186,000

Beijing

¥417,000

¥628,000

¥893,000

¥628,000

Shanghai

¥123,000

¥154,000

¥182,000

¥154,000

Shenzhen

¥250,000

¥400,000

¥599,000

¥400,000

Bengalaru

₹1,505,000

₹2,310,000

₹3,540,000

₹2,310,000

Delhi

₹2,233,000

₹2,995,000

₹3,901,000

₹2,995,000

Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

Path to Computer Vision Scientist

Take the first step.

We've curated six courses to help you on your path to Computer Vision Scientist. Use these to develop your skills, build background knowledge, and put what you learn to practice.

Sorted from most relevant to least relevant:

Deep Learning Applications for Computer Vision

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Deep Learning with PyTorch : Object Localization

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Advanced Computer Vision with TensorFlow

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Convolutional Neural Networks

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Image Processing and Analysis for Life Scientists

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Camera

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Reading list

We haven't picked any books for this reading list yet.

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