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Applied Research Scientist Computer Vision Jobs

Advances Oracle's scientific leadership through publications, patents, white papers, peer review ... business-critical applied research area, such as computer vision, facial biometrics, video ...

Your Impact We are seeking a skilled and innovative applied Research Scientist to join one of our AI teams focusing on computer vision and machine learning (CVML). As a research scientist at Axon you ...

$105K - $200K/yr

POSITION SPECIFICS We are seeking a Computer Vision Engineerto join the Image Science and Computer Vision Department of the Applied Research Laboratory (ARL) at Penn State to design, develop, and ...

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Applied Research Scientist Computer Vision information

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$90.5K

$132.5K

$143.5K

How much do applied research scientist computer vision jobs pay per year?

As of Sep 9, 2026, the average yearly pay for applied research scientist computer vision in the United States is $132,455.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,000.00 and $143,000.00 per year, depending on experience, location, and employer.

What are popular job titles related to Applied Research Scientist Computer Vision jobs?

For Applied Research Scientist Computer Vision jobs, the most frequently searched job titles are:

Infographic showing various Applied Research Scientist Computer Vision job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $132,455 per year, or $63.7 per hour.

Data Scientist - Computer Vision

Santa Ana, CA • On-site

Kanak Elite Services Inc
Software Development • 51 - 200 employees

Contractor

Re-posted 8 days ago


Job description

Role: Data Scientist - Computer Vision

Location: Santa Clara, CA - Onsite

Need DOB, full physical address 


Description/Important details:

1. Solid knowledge of image processing: Filtering, Binary Morphology, Perspective / Affine transformation, Edge Detection

2. Machine Learning: Regression, Supervised and Unsupervised Learning,

3. Knowledge of HDR and Deep Learning object detection.

Thanks & Regards,

Technical Recruiter

Anjali Sonkar

Email : Anjali08@kanakits.com