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Image Processing Research Engineer Jobs (NOW HIRING)

InterImage

InterImage currently has a need for an Image Processing SME Experience Required: Experience ... The individual will likely hold a Masters Degree or even a PhD in Electrical Engineering, Physics ...

PaxeraHealth

Sr. Image Processing Engineer

Newton, MA · Remote

$107K - $146K/yr

The Senior Image Processing Engineer works at a high level with the entire life cycle of data classification algorithms and image processing, specifically for medical imaging, including analyzing ...

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Image Processing Research Engineer information

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How much do image processing research engineer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for image processing research engineer in the United States is $62.58, according to ZipRecruiter salary data. Most workers in this role earn between $51.92 and $66.83 per hour, depending on experience, location, and employer.

What does an image processing research engineer do?

An Image Processing Research Engineer develops algorithms and techniques to analyze, enhance, and interpret digital images using computer vision and machine learning methods. They often work on tasks such as object detection, image segmentation, and feature extraction to solve real-world problems in areas like medical imaging, autonomous vehicles, and security. Their responsibilities include researching new approaches, implementing and testing algorithms, and collaborating with other engineers and scientists to integrate solutions into products or systems.

What are the key skills and qualifications needed to thrive as an image processing research engineer?

To thrive as an Image Processing Research Engineer, you need strong expertise in mathematics, signal processing, machine learning, and a relevant degree such as computer science or electrical engineering. Proficiency in programming languages like Python or C++, and experience with libraries and frameworks such as OpenCV, TensorFlow, or MATLAB are typically required. Analytical thinking, creativity, and effective communication are critical soft skills for developing innovative solutions and collaborating with multidisciplinary teams. These skills are essential for advancing image processing technology and delivering robust, real-world applications.

What are some common challenges faced by image processing research engineers when developing new algorithms?

Image Processing Research Engineers often encounter challenges such as balancing algorithm accuracy with computational efficiency, especially when working with large datasets or real-time applications. Ensuring robustness against varied image quality and environmental conditions can also be demanding. Additionally, successful collaboration with cross-functional teams—including software developers, data scientists, and hardware engineers—is essential to integrate new methods into production systems and to validate their effectiveness in real-world scenarios.

What are popular job titles related to Image Processing Research Engineer jobs?

For Image Processing Research Engineer jobs, the most frequently searched job titles are:

Infographic showing various Image Processing Research Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 10% Part Time, and 1% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution, with an average salary of $130,171 per year, or $62.6 per hour.

2725 Image Processing SME

On-site

InterImage
IT Services • 51 - 200 employees
Learn more about InterImageexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago

Job description

InterImage currently has a need for an Image Processing SME

Experience Required:

Experience analyzing and developing algorithms to correct scientific image data containing aberrations, lensing defects, optical anomalies, distortions, non-linearity, etc.

Expertise in developing algorithms for object detection, feature extraction, and pattern recognition in high-resolution images, particularly from microscopes.

Proficiency in stitching or combining multiple images into seamless mosaics, including handling alignment, blending, and geometric transformations for high-resolution microscopy data.

Familiarity with image preprocessing techniques (e.g., noise reduction, contrast enhancement, edge detection) for microscopy data.

Ability to handle large, high-resolution image datasets and optimize algorithms for performance and accuracy.

Knowledge of training and deploying machine learning models for real-time or batch image analysis.

Individual may have had experience writing software for a Government agency, laboratory or corporate entity that works with Imagery data.

Education:

The individual will likely hold a Masters Degree or even a PhD in Electrical Engineering, Physics, Computer Science, Computer Engineering or Mathematics.


Requirements:
TS/SCI Full Scope Poly required

InterImage Benefit Snapshot:

401K: up to 3% discretionary profit sharing contribution + 100% match on the 1st 7% of pay
PTO: 20 days per year
Healthcare, dental, vision, Free for a single participant
$50,000 Life insurance provided, additional voluntary life insurance available


InterImage is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. InterImage provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.

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Employment Type: FULL_TIME

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