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Image Processing Research Jobs (NOW HIRING)

Ready to apply cutting-edge image processing, computer vision, and AI technology to innovations ... Working closely with R&D and Operations teams, you will help improve manufacturing processes ...

Ready to apply cutting-edge image processing, computer vision, and AI technology to innovations ... Working closely with R&D and Operations teams, you will help improve manufacturing processes ...

>" /> Ready to apply cutting-edge image processing, computer vision, and AI technology to innovations ... Working closely with R&D and Operations teams, you will help improve manufacturing processes ...

Image Processing Engineer BELONG. CONNECT. GROW. with KBR. Around here, we define the future. We ... research, innovation, and technology that empower scientists and decision-makers worldwide.

Ready to apply cutting-edge image processing, computer vision, and AI technology to innovations ... Working closely with R&D and Operations teams, you will help improve manufacturing processes ...

Image Processing Engineer BELONG. CONNECT. GROW. with KBR. Around here, we define the future. We ... research, innovation, and technology that empower scientists and decision-makers worldwide.

WI · On-site

$79.95 - $125.64/hr

You will collaborate closely with researchers, software engineers, system engineers, business ... Develop and maintain image processing processors/workflows that transform raw satellite ...

D.) with relevant research may be considered in lieu of some professional experience. * 5+ years of hands-on experience developing computer vision, image processing, or estimation algorithms in a ...

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Image Processing Research information

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$5

$62

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How much do image processing research jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for image processing research 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 is image processing research?

Image processing research involves studying and developing methods to analyze, enhance, and manipulate images using computer algorithms. Researchers in this field work on improving techniques for tasks such as image recognition, restoration, segmentation, and compression. The goal is to extract meaningful information from images or to transform images for better visual quality or analysis. This research is widely applied in areas like medical imaging, computer vision, remote sensing, and multimedia.

What are some common challenges faced by professionals in image processing research, and how can they be addressed?

Image Processing Research professionals often encounter challenges such as handling large and complex datasets, ensuring the accuracy and robustness of algorithms, and staying current with rapid advancements in machine learning techniques. Collaborating with interdisciplinary teams—such as software engineers, data scientists, and domain experts—can help overcome these hurdles. Additionally, participating in conferences, workshops, and peer review processes is crucial for keeping skills updated and for troubleshooting research obstacles efficiently.

What are the key skills and qualifications needed to thrive as an image processing researcher, and why are they important?

To thrive as an Image Processing Researcher, you need a strong background in mathematics, computer vision, and signal processing, typically supported by an advanced degree in computer science, electrical engineering, or a related field. Expertise in programming languages like Python or MATLAB, familiarity with machine learning libraries (e.g., TensorFlow, OpenCV), and experience with image analysis software are essential. Strong analytical thinking, creativity, and effective communication skills help researchers develop innovative solutions and collaborate on interdisciplinary teams. These skills are crucial for advancing research, solving complex visual data problems, and translating findings into practical applications.

What is the difference between Image Processing Research vs Computer Vision Engineer?

AspectImage Processing ResearchComputer Vision Engineer
Required CredentialsMaster's or PhD in Computer Science, Electrical Engineering, or related fieldsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields
Work EnvironmentResearch labs, academic institutions, R&D departmentsTech companies, startups, product development teams
Employer & Industry UsagePrimarily in academia, research institutions, and R&D divisionsIndustry-focused, developing real-world applications and products
Common Search & Comparison IntentUnderstanding research roles, academic careers, and foundational workIndustry roles, application development, and product-focused work

Image Processing Research involves exploring new algorithms and techniques in image analysis within academic or research settings. In contrast, Computer Vision Engineers focus on applying these techniques to develop practical solutions and products in industry. Both roles require strong technical skills, but their work environments and objectives differ significantly.

More about Image Processing Research jobs
Infographic showing various Image Processing Research job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $130,171 per year, or $62.6 per hour.

Image Processing Engineer

Crane Currency Malta Limited

Alpharetta, GA • On-site

$110 - $160/hr

Other

Posted 5 days ago


Job description

Ready to apply cutting-edge image processing, computer vision, and AI technology to innovations trusted around the world? Join Crane Currency as an Image Processing Engineer in Alpharetta, GA, where you'll help develop next-generation security features, solve complex technical challenges, and turn advanced imaging data into real-world solutions

Who we are:

Crane Currency is a premier industrial technology company and a pioneer in currency manufacturing and advanced micro-optics technology for securing physical products. Yes, chances are you have our product in your wallet right now! Our sophisticated equipment and software leverage proprietary core capabilities with detection and sensing technologies. Around the world, our customers trust us to anticipate their needs with innovative, reliable, and high-quality currency & authentication solutions and services, just as they have for generations. Learn more at www.cranecurrency.com.

How you will make an impact:

As an Image Processing Engineer, you will play a key role in developing innovative image processing solutions that support new product development, enhance existing technologies, and provide advanced software and statistical analysis capabilities. You will design and implement custom software applications while optimizing camera and lighting systems used for data acquisition. Working closely with R&D and Operations teams, you will help improve manufacturing processes through automation and process optimization initiatives. This position offers the opportunity to solve complex technical challenges while advancing industry-leading security technologies.

  • Support R&D innovation teams in the design, development, and integration of rapid prototype software tools.
  • Troubleshoot and resolve technical issues related to software applications and systems.
  • Manage small, medium, and large-scale projects to ensure successful execution and delivery.
  • Analyze and manage large datasets to support research, development, and manufacturing objectives.
  • Serve as a subject matter expert on image processing and data visualization within cross-functional teams.
  • Communicate complex technical findings and insights to stakeholders across the organization.
  • Adhere to established software architecture standards and integrate with existing APIs when appropriate.
  • Identify and address safety risks while promoting a safe working environment.
Knowledge and expertise that matter most for this role:Required:
  • Bachelor of Science degree in Computer Engineering, Computer Science, Electrical Engineering (DSP), or Mathematics.
  • Hands-on image processing and computer vision experience, including coding, API integration, and software troubleshooting.
  • Experience managing project timelines, milestones, deliverables, and stakeholder expectations.
  • Proficiency with MATLAB, Python, or C#, and experience with OpenCV, Pillow, TensorFlow, scikit-learn, or Touch Designer.
  • Strong communication skills with the ability to collaborate effectively with cross-functional teams and stakeholders.
  • Solid understanding of statistics, image processing, optics, and human vision.
Preferred:
  • Higher degree in Computer Engineering, Computer Science, Electrical Engineering (DSP), Mathematics, or a related field.
  • Experience in an industrial R&D or similar technical environment.
  • Experience with 3D rendering and shader development.
  • Blender add-on development experience.
  • Optics design, alignment, and metrology experience.
What drives our team:

We are a passionate team of 1,300 creators and problem solvers, united by our purpose, we give people confidence every day in moments that matter. This comes to life through our Shared Values:

  • People Matter
  • Do the Right Thing
  • Trusted Partner
  • Innovate for Growth
  • Always Improving

Learn more about our values and culture: https://www.cranecurrency.com/careers/life-at-crane-currency/

You can also check us out at: https://www.glassdoor.com/Reviews/Crane-Currency-Reviews-E1187198.htm

Where we are:

Your role is in Alpharetta, Georgia, part of the Atlanta metropolitan area and only a 25-mile drive into downtown Atlanta. Check out what makes Alpharetta a great place to live and work here: https://www.cranecurrency.com/media/m11omhaz/alpharetta-ga_site-location-packet_2024.pdf

Crane Currency is a drug free workplace.

Crane NXT is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, military status, or national origin or any other characteristic protected under applicable federal, state, or local law.

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