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Entry Level Image Processing Scientist Jobs (NOW HIRING)

They are seeking an Image Processing Engineer to optimize image quality across hardware and ... Required : • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science ...

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a ... Optimize image quality across the hardware and software stack, ensuring hardware capabilities are ...

InterImage currently has a need for an Image Processing SME Experience Required ... Experience analyzing and developing algorithms to correct scientific image data containing ...

Responsibilities We are seeking an Image Scientist who will support : * Product evaluations, quality studies, new product initializations, product algorithm assessments, or develop image quality ...

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Entry Level Image Processing Scientist information

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$50.5K

$111.3K

$137.5K

How much do entry level image processing scientist jobs pay per year?

As of Jul 7, 2026, the average yearly pay for entry level image processing scientist in the United States is $111,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $137,000.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Image Processing Scientist vs Entry Level Computer Vision Engineer?

AspectEntry Level Image Processing ScientistEntry Level Computer Vision Engineer
Required CredentialsBachelor's in Computer Science, Electrical Engineering, or related field; knowledge of image processing algorithmsBachelor's in Computer Science, Electrical Engineering, or related field; familiarity with computer vision techniques
Work EnvironmentResearch labs, tech companies, healthcare, or automotive industriesTech companies, robotics, autonomous vehicles, surveillance systems
Employer & Industry UsagePrimarily in research and development roles focusing on image enhancement and analysisDeveloping real-time vision systems, object detection, and scene understanding

Both roles require similar educational backgrounds and work in related industries, but the Image Processing Scientist focuses more on image analysis and enhancement, while the Computer Vision Engineer emphasizes applying algorithms to develop real-time vision applications.

What are some typical projects and collaborative tasks an Entry Level Image Processing Scientist might work on in their first year?

As an Entry Level Image Processing Scientist, you can expect to work on projects such as developing algorithms for image enhancement, noise reduction, or object detection. You will likely collaborate closely with software engineers, data scientists, and sometimes hardware teams to integrate your solutions into larger systems. Early tasks often include preprocessing data, running experiments, and evaluating algorithm performance. Regular meetings and code reviews are common, helping you learn industry standards and best practices while building valuable teamwork skills.

What does an Entry Level Image Processing Scientist do?

An Entry Level Image Processing Scientist applies mathematical and computational techniques to analyze, enhance, and interpret digital images. They work with images from various sources such as cameras, satellites, or medical devices, using algorithms and programming to improve image quality or extract useful information. Typical tasks include data preprocessing, implementing image filters, designing and testing computer vision models, and supporting senior scientists in research projects. This role often requires knowledge of programming languages like Python or MATLAB, and familiarity with image processing libraries and tools.

What are the key skills and qualifications needed to thrive as an Entry Level Image Processing Scientist, and why are they important?

To thrive as an Entry Level Image Processing Scientist, you need a foundation in mathematics, computer science, and image processing concepts, typically supported by a bachelor’s or master’s degree in a relevant field. Proficiency with programming languages such as Python or MATLAB, familiarity with machine learning libraries (like OpenCV, TensorFlow, or PyTorch), and experience with image analysis tools are highly valued. Strong analytical thinking, attention to detail, and effective communication skills help you excel in collaborating with teams and interpreting complex data. These skills are crucial for developing robust image processing solutions, ensuring accuracy, and working effectively within multidisciplinary environments.
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Posted 13 days ago


Job description

Freedom Technology Solutions Group is seeking an Image Scientist. The  Image Scientist (IS) will serve as a technical specialist for research, evaluation and verification of highly complex image and video processing systems for geospatial intelligence sensors, systems, and applications. The IS will provide expert-level consultation, problem solving, and verification for all GEOINT quality assessments, studies, and standards. The IS will provide detailed recommendations and risk assessments to Government and technical leadership. The IS will design, develop, evaluate, and verify the implementation of complex image processing software products, algorithms, and workflows. The IS will mentor and guide junior image scientists in the development of criteria for testing algorithm and system's cognitive performance objectively from an end-user perspective, as well as perform evaluation and testing on simulated and operational data.

Required Qualifications:

  • Active TS/SCI with the ability to obtain a Poly
  • Master's degree/PhD in Imaging Science, Physics, Engineering, Mathematics or quantitative science field and 10 years of experience as a Image Scientist
  • Demonstrated knowledge of digital imaging systems principles and practices
  • Experience supporting the development, testing, and analysis of image collection systems
  • Experience applying engineering standards, principles, theories, concepts and techniques to solve complex problems associated with image product formation from raw sensor and associated metadata
  • Experience or working knowledge with advanced photogrammetric techniques and principles
  • Experience performing image system simulations to produce realistic test data to support system validation and testing
  • Experience or demonstrated ability to develop, assess, and implement Image Quality Equations
  • Experience building image processing algorithms
  • Experience programming in Matlab and/or Python, C++, or other equivalent programming languages
  • Experience analyzing and assessing quality of image data across the full-range of sensor types, sources, and phenomenology's

Junior Level:

  • Graduation from and accredited Image Science program at a university or military training program.  
  • Basic understanding of simulation and modeling techniques or the image creation process.  
  • Working knowledge of imagery systems to include basic types of PAN, IR, and RADAR.  
  • Working knowledge of various basic ELTs, Matlab, and mathematics/equations/functions.  
  • Basic knowledge of sensor types to include airborne, space-borne, and FMV.  
  • Knowledge of Microsoft Office tools.  
  • Basic oral and written communication skills.

Mid Level:

All the junior level experience plus:

  • Experience with creation of imagery evaluations, image quality studies, new product/sensor initializations, product algorithm assessments, and the development of image quality equations.  
  • Working knowledge and practical application of modeling components of the image creation path to include sensor, detector, atmospheric, and material properties.
  • Experience with imaging systems to include PAN, IR, MSI/HSI, RADAR, and LIDAR, on both space or airborne platforms.  
  • Simulation and modeling experience and ability to develop algorithm description documentation for software development.  
  • Familiarity with current GEOINT systems, products and development, as well as exploitation software packages such as all ELTs, AGITK, and other software plug-ins or applications necessary to develop test and verification methodologies.
  • Typically reports to a manager, work is independent yet collaborative.

Senior Level:

All the junior and mid Level experience plus:

  • Ability to develop and lead any large-scale evaluations to include, but not limited to, image quality studies, new product/sensor initializations, product algorithm assessments, back to operations reviews, and the development of image quality equations (IQEs).  
  • Full image processing and digital signal processing experience.
  • Image chain analysis to include atmospheric modeling, signal quality and noise, optics, detector calibration, and image processing of pixel data to display radiometrically correct values.
  • Application of error estimation for thermometric and material identification products.  
  • Understanding and application of image quality standards such as NIIRS scales and metrics.  
  • Significant applied knowledge of sensor imaging systems, products, and exploitation processes.  
  • Strong understanding of the systems engineering lifecycle to include independent testing and data verification.  
  • Strong written and oral communication skills to include briefing and creation of presentations.  
  • Self-starter with ability to learn, research, and solve problems with on their own accord.
  • Work is highly independent and you may assume a lead role.