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Image Processing Research Jobs (NOW HIRING)

Google

Image Processing Engineer

Mountain View, CA · On-site

... image quality, computer vision, or related technical environment. * Experience with Python and C ... Teams across this area research, design, and develop new technologies to make our user ...

Teledyne

Senior Image Processing Engineer

Goleta, CA

$113K - $151K/yr

... research, deepwater oil and gas exploration and production, medical imaging and pharmaceutical ... The Video Signal Processing and Algorithms (VSP&A) team is seeking to hire a Senior Image ...

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Image Processing Research information

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$5

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$89

How much do image processing research jobs pay per hour?

As of Jun 9, 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 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 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 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 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
What states have the most Image Processing Research jobs? States with the most job openings for Image Processing Research jobs include:
What job categories do people searching Image Processing Research jobs look for? The top searched job categories for Image Processing Research jobs are:
Image Processing Research jobs near you
Infographic showing various Image Processing Research job openings in the United States as of June 2026, with employment types broken down into 54% Full Time, 40% Part Time, 3% Temporary, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $130,171 per year, or $62.6 per hour.
Image Processing SME

Image Processing SME

InterImage

Fort George G Meade, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago

Job description

We are seeking a highly skilled Image Processing Subject Matter Expert (SME) to support the development of advanced imaging and signal processing solutions within a cutting-edge FPGA engineering environment. The ideal candidate will possess deep expertise in scientific and computational imaging, image correction algorithms, machine vision, and automated image analysis. This role will work closely with FPGA, software, hardware, and algorithm development teams to design and optimize image processing pipelines for high-performance, mission-critical applications.
The successful candidate will contribute to the development of advanced imaging solutions involving microscopy, scientific sensors, electro-optical systems, and other high-resolution imaging platforms. This position offers the opportunity to solve complex imaging challenges while supporting innovative technologies for government, research, and commercial applications.
Responsibilities
  • Analyze and develop image correction algorithms to compensate for optical aberrations, lensing defects, sensor non-linearity, geometric distortions, illumination inconsistencies, and other imaging artifacts.
  • Design, evaluate, and optimize advanced image processing pipelines for scientific and high-resolution imaging systems.
  • Develop algorithms for object detection, feature extraction, segmentation, classification, and pattern recognition within large image datasets.
  • Create and optimize image stitching, registration, and mosaic generation techniques for microscopy and scientific imaging applications.
  • Implement image preprocessing methods including noise reduction, deconvolution, contrast enhancement, normalization, filtering, and edge detection.
  • Collaborate with FPGA engineers to transition computational imaging algorithms into hardware-accelerated implementations.
  • Evaluate algorithm performance, accuracy, throughput, and resource utilization for real-time and near-real-time processing applications.
  • Develop and validate machine learning and computer vision models for automated image analysis workflows.
  • Support integration, testing, verification, and validation of imaging systems and processing pipelines.
  • Work with multidisciplinary teams including FPGA developers, software engineers, optical engineers, data scientists, and system architects.
  • Document technical designs, algorithm performance analyses, validation results, and implementation approaches.
  • Provide technical leadership and subject matter expertise on imaging science, computational photography, and machine vision technologies.

Requirements
Required Qualifications
  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, Physics, Imaging Science, or a related technical discipline.
  • 8+ years of experience developing advanced image processing, computer vision, or computational imaging solutions.
  • Strong understanding of image formation, optics, sensor technologies, and imaging system performance characteristics.
  • Demonstrated experience correcting scientific image data affected by aberrations, lens distortion, optical anomalies, non-uniform illumination, and sensor artifacts.
  • Expertise in object detection, feature extraction, image segmentation, and pattern recognition algorithms.
  • Experience developing image registration, alignment, and stitching solutions for large-scale image mosaics.
  • Strong knowledge of image preprocessing techniques and enhancement methodologies.
  • Experience handling large, high-resolution image datasets while optimizing performance and computational efficiency.
  • Proficiency in Python, C++, MATLAB, or similar algorithm development environments.
  • Ability to communicate complex technical concepts effectively across engineering disciplines.
Desired Qualifications
  • Experience supporting FPGA-based image processing architectures and hardware acceleration initiatives.
  • Knowledge of GPU computing, parallel processing, and high-performance computing techniques.
  • Experience developing machine learning models for image classification, detection, segmentation, and anomaly detection.
  • Familiarity with hyperspectral, multispectral, electro-optical, infrared, or scientific imaging systems.
  • Experience working with microscopy imagery, laboratory imaging systems, or advanced scientific instrumentation.
  • Knowledge of computer vision model deployment for real-time processing environments.
  • Experience supporting government agencies, research laboratories, federally funded research organizations, or commercial entities focused on imagery exploitation and analysis.
  • Familiarity with imaging standards, calibration methodologies, and quantitative image quality assessment.
  • Experience utilizing image processing libraries such as OpenCV, SciPy, NumPy, scikit-image, TensorFlow, PyTorch, or equivalent frameworks.

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

Benefits
  • 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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