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Computer Vision Scientist Jobs (NOW HIRING)

GRVTY

$170 - $220/hr

Coach and mentor other computer vision scientists/engineers * Present your work to customers, collaborators, and the research community through papers, reports, and demonstrations * Generate ...

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Computer Vision Scientist information

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$50.5K

$111.3K

$137.5K

How much do computer vision scientist jobs pay per year?

As of Aug 26, 2026, the average yearly pay for computer vision scientist in the United States is $111,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $137,000.00 per year, depending on experience, location, and employer.

What is a computer vision scientist?

Computer Vision Scientists are professionals who develop algorithms and models that allow computers to interpret and understand visual information from the world, such as images and videos. They use techniques from machine learning, artificial intelligence, and image processing to solve problems like object detection, facial recognition, and scene understanding. Their work is essential in fields such as autonomous vehicles, healthcare imaging, robotics, and augmented reality. Computer Vision Scientists often collaborate with engineers and domain experts to create practical applications and improve existing technologies.

What are the key skills and qualifications needed to thrive as a computer vision scientist?

A Computer Vision Scientist needs a strong background in mathematics, machine learning, and image processing, often supported by a graduate degree in computer science or a related field. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), programming languages like Python or C++, and experience with libraries like OpenCV are typically required. Creative problem-solving, critical thinking, and effective communication help distinguish top performers in this role. These skills are essential for developing innovative computer vision solutions that can be effectively integrated into real-world applications.

What are some common challenges faced by computer vision scientists when deploying models to production environments?

Computer Vision Scientists often encounter challenges such as ensuring model robustness under varying real-world conditions, optimizing inference speed for deployment on resource-constrained devices, and managing large-scale data for continuous model improvement. Collaboration with engineering teams is crucial to integrate models efficiently into existing software pipelines and to address issues like latency and scalability. Additionally, maintaining high accuracy while minimizing false positives and negatives in live environments requires ongoing monitoring and iterative improvement.

What is the difference between Computer Vision Scientist vs Machine Learning Engineer?

AspectComputer Vision ScientistMachine Learning Engineer
Required CredentialsMaster's or PhD in Computer Science, AI, or related fieldsBachelor's or Master's in Computer Science, Software Engineering, or related fields
Work EnvironmentResearch labs, R&D departments, academiaProduct teams, software development environments
Industry UsageDeveloping algorithms for image/video analysis, object detectionBuilding scalable ML models for various applications including vision

While both roles involve machine learning, Computer Vision Scientists focus on developing algorithms specifically for visual data, whereas Machine Learning Engineers implement and deploy these models in real-world applications. The roles often overlap but differ mainly in their primary focus and work environment.

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What states have the most Computer Vision Scientist jobs?

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What job categories do people searching Computer Vision Scientist jobs look for?

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Computer Vision Scientist jobs near you
Infographic showing various Computer Vision Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, and 6% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $111,343 per year, or $53.5 per hour.

Computer Vision Scientist

Redfish Recruiting

Northbrook, IL • On-site, Remote

Full-time

Re-posted 10 days ago

Job description

Computer Vision Scientist
Chicago, IL
Our Client is seeking a talented computer vision expert who is passionate about using their skills to help reshape the gaming industry of tomorrow. The ideal candidate should have deep hands-on knowledge of traditional computer vision and deep learning to design and build AI platforms and products.
Responsibilities
-Work collaboratively with product and engineering teams to turn Computer Vision concepts into valuable products
-Research & develop state of the art vision algorithms
-Design, architecture, & develop our Client's AI platform & devices
Qualifications
-M.S. or Ph.D. in computer science, or related disciplines.
-Strong analytical, problem-solving, and critical thinking skills
-Highly self-motivated and passionate with assigned projects, and a self-starter and taking a full ownership with responsibilities
-3+ years algorithm research / development experience in the areas of computer vision, machine learning, and related fields with proven track records, such as strong publications, published demos or software applications
-Expertise with traditional CV approaches (e.g., OpenCV), Classification, detection, and segmentation approaches
-Ability to implement related academic literature in computer vision and deep learning
-Strong knowledge of deep learning frameworks like Tensorflow, Pytorch, Caffe, Yolo etc.
-Experience building, testing, and deploying computer vision based solutions
-Expertise with Python and/or C/C++, Linux, Cloud, Git
-Excellent verbal and written communication skills
-Excel under high pressure with time critical projects
-Experience with deploying custom software to embedded CPUs, GPUs, or FPGAs is a plus
Perks
-Flexible working hours
-H-1B Sponsorship

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