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Image Processing Jobs (NOW HIRING)

PaxeraHealth

Sr. Image Processing Engineer

Newton Center, 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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How much do image processing jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for image processing 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 are the typical daily tasks of an Image Processing specialist?

An Image Processing specialist typically spends their day developing and optimizing algorithms for tasks such as image enhancement, feature extraction, segmentation, and object recognition. You may work closely with a multidisciplinary team that includes software engineers, data scientists, and domain experts to integrate your solutions into larger systems or products. Daily responsibilities often involve coding, testing, validating results, and documenting methodologies, as well as troubleshooting performance issues. Collaboration and frequent feedback sessions are common, as many projects are iterative and benefit from collective expertise. This role offers a dynamic and intellectually stimulating work environment with the potential for impactful innovation.

What is an Image Processing job?

An Image Processing job involves analyzing, enhancing, and manipulating digital images using algorithms and software. Professionals in this field work with techniques such as filtering, feature extraction, and pattern recognition to improve image quality or extract useful information. They often use programming languages like Python and libraries such as OpenCV or MATLAB to develop solutions for applications in medical imaging, computer vision, and automation.

What are the key skills and qualifications needed to thrive in the Image Processing position, and why are they important?

To thrive in Image Processing, you need a solid background in computer vision, signal processing, mathematics, and often a relevant degree in computer science, engineering, or a related field. Proficiency with programming languages such as Python or MATLAB, experience with libraries like OpenCV, and familiarity with machine learning frameworks are typically required. Strong analytical thinking, problem-solving abilities, and effective teamwork and communication skills help set professionals apart. These competencies are crucial for developing, implementing, and refining algorithms that extract, analyze, and interpret information from visual data in various industries.

More about Image Processing jobs
What cities are hiring for Image Processing jobs? Cities with the most Image Processing job openings:
What are the most commonly searched types of Image Processing jobs? The most popular types of Image Processing jobs are:
What states have the most Image Processing jobs? States with the most job openings for Image Processing jobs include:
What job categories do people searching Image Processing jobs look for? The top searched job categories for Image Processing jobs are:
Image Processing jobs near you
Infographic showing various Image Processing job openings in the United States as of July 2026, with employment types broken down into 56% Full Time, 10% Part Time, 5% Temporary, and 29% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $130,171 per year, or $62.6 per hour.
Sr. Image Processing Engineer

Sr. Image Processing Engineer

PaxeraHealth

Newton Center, MA • Remote

$107K - $146K/yr

Full-time

Re-posted 7 days ago

Job description

SUMMARY: 

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 data, writing reports, developing methods for feature extraction and classification, and researches basic to advanced image processing algorithms, gives presentations, and creates visual interpretations of data. Works on target detection and tracking, video georeferencing, implementing an image processing system, enhancing new software, and enabling immersive augmented and virtual reality experiences. Develops algorithms for real 3D images and accurate wireless tracking.

ESSENTIAL FUNCTIONS AND RESPONSIBILITIES

  • Have proven experience building reliable, secure, and scalable software solutions using modern cloud-based paradigms
  • Keep customers first in a DevOps model
  • Hands-on implementation of scalable Image processing solutions for the healthcare domain, using DICOM standard
  • DICOM environment configuration and setup of DICOM services like Store, Storage commitment, Query/Retrieve, and Modality Worklist
  • Develop and verify software algorithms that perform compression, segmentation, contour detection
  • Experience migrating DICOM data
  • Learn quickly and iterate rapidly in an evolving product landscape
  • Design distributed systems, DNS cache, data pipelines, platform APIs
  • Drive entire features, mentor junior developers, and cultivate a positive work environment
  • Strictly uphold the privacy and security of patient data obtained from our healthcare partners

REQUIRED EDUCATION AND EXPERIENCE

  • 5 years of experience in the development and integration of complex imaging systems and/or medical image diagnosis software
  • Experience in developing with C # and/or C++
  • 3 years of DICOM development and troubleshooting experience
  • Strong knowledge (3 years or more) of DICOM standards, having developed or extended servers such as dcm4che, Orthanc, etc.
  • Prior experience developing healthcare components (PACS, VNA, RIS) and workflows
  • Experience with one or more of DICOM, HL7 is a plus
  • Experience building DICOM-based integrations using IHE XDS standards for interoperability across healthcare systems
  • Experience with DICOM tools like DCMTK/JDICOM/OpenDICOM
  • Experience debugging native dlls, binary formats is a plus
  • Prior work on containers, Kubernetes is a plus
  • B.S. in Computer Science or related field. An M.S. or Ph.D. is a plus
 

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