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Remote Image Processing Scientist Jobs in Colorado

Maxar

Algorithm Engineer

Westminster, CO · On-site +1

$102K - $136K/yr

Design, develop, and optimize image processing algorithms. * Apply mathematical and statistical ... Remote Sensing, Geospatial Sciences, or a related technical field. * 2-5 years of relevant industry ...

Maxar

Senior Algorithm Engineer

Westminster, CO · On-site +1

$124K - $165K/yr

Design, develop, and optimize computer vision and image processing algorithms. * Apply advanced ... Bachelors degree in Computer Science, Computer Engineering, Applied Mathematics, Physics, Remote ...

Maxar

Software Development Engineer

Westminster, CO · On-site +1

$86K - $115K/yr

The ideal candidate is eager to learn and develop technologies related to image processing, remote ... Bachelor's degree in Computer Science, Information Systems, Software Engineering, or a related ...

Lynker Corporation

Senior Wetlands Scientist

Boulder, CO · On-site +1

$90K - $120K/yr

... remote-sensing inputs. * Experience with distributed or parallel processing for large-area ... A record of scientific publication or successful proposal work. * Colorado Front Range presence for ...

Lynker Corporation

Senior Water Resources Scientist

Boulder, CO · On-site +1

$94K - $129K/yr

Familiarity with additional languages such as Python or JavaScript, and with geospatial and remote ... Our continually expanding team combines scientific expertise with mature, results-driven processes ...

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Remote Image Processing Scientist information

What are some common challenges faced by remote image processing scientists when collaborating with cross-functional teams?

Remote Image Processing Scientists often work with diverse teams, including software engineers, data scientists, and project managers. A common challenge is ensuring clear communication of complex technical concepts, especially when team members have varying levels of expertise in image processing. Additionally, aligning on project goals and integrating image processing workflows with broader system architectures can require extra coordination in a remote setting. Proactively scheduling regular meetings and using collaborative tools can help bridge these gaps and foster effective teamwork.

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

AspectRemote Image Processing ScientistRemote Computer Vision Engineer
Required CredentialsMaster's or PhD in Computer Science, Electrical Engineering, or related fields; experience with image processing algorithmsBachelor's or higher in Computer Science or Electrical Engineering; strong programming skills in Python, C++, and experience with vision libraries
Work EnvironmentResearch-focused, often in R&D teams, developing new image processing techniquesDevelopment-focused, implementing and deploying computer vision models in products
Employer & Industry UsageTech companies, research labs, healthcare, automotiveTech firms, autonomous vehicles, robotics, security systems

While both roles involve working with visual data, the Remote Image Processing Scientist primarily focuses on research and developing new algorithms, whereas the Remote Computer Vision Engineer applies these techniques to build practical applications and systems.

What are the key skills and qualifications needed to thrive as a remote image processing scientist, and why are they important?

To thrive as a Remote Image Processing Scientist, you need a solid background in computer vision, image analysis, and strong programming skills, generally supported by a degree in computer science, electrical engineering, or a related field. Expertise in tools such as Python, MATLAB, OpenCV, and familiarity with machine learning frameworks and cloud computing platforms is typically required. Strong problem-solving abilities, self-motivation, and effective communication are important soft skills, especially when working in remote or distributed teams. These skills ensure the development of robust image processing solutions, efficient collaboration, and the ability to adapt to evolving project requirements.

What is a remote image processing scientist?

A Remote Image Processing Scientist is a professional who specializes in analyzing and interpreting images using advanced computational techniques, often working from a remote location. They process and enhance digital images, such as satellite photos, medical scans, or photographs, using algorithms and software tools. Their work may involve developing new image analysis methods, improving image quality, and extracting meaningful data for various applications like remote sensing, healthcare, or security. Remote Image Processing Scientists typically have backgrounds in computer science, engineering, or related fields, and are skilled in programming, mathematics, and data analysis.
What are popular job titles related to Remote Image Processing Scientist jobs in Colorado? For Remote Image Processing Scientist jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Image Processing Scientist jobs in Colorado look for? The top searched job categories for Remote Image Processing Scientist jobs in Colorado are:
What cities in Colorado are hiring for Remote Image Processing Scientist jobs? Cities in Colorado with the most Remote Image Processing Scientist job openings:
Remote Image Processing Scientist jobs near you
Infographic showing various Remote Image Processing Scientist job openings in Colorado as of June 2026, with employment types broken down into 3% As Needed, 82% Full Time, 10% Part Time, and 5% Contract. Highlights an 47% Physical, 3% Hybrid, and 50% Remote job distribution.

Spectral Imagery Scientist

U.S. Department of Defense (DOD)

Denver, CO • Remote

$51K/yr

Full-time

Posted 6 days ago

U.S. Department Of Defense rating

7.9

Company rating: 7.9 out of 10

Based on 537 frontline employees who took The Breakroom Quiz

28th of 49 rated military and defense

Job description

Spectral Imagery Scientists process, analyze, and exploit spectral imagery to extract intelligence and geospatial information using advanced scientific methodologies, algorithms, and software tools. They collaborate with analysts to understand intelligence issues, provide scientific results to conduct intelligence production, and educate stakeholders on product capabilities. They develop, test, an

Qualifications:

MANDATORY QUALIFICATION CRITERIA: For this particular job, applicants must meet all competencies reflected under the Mandatory Qualification Criteria to include education (if required). Online resumes must demonstrate qualification by providing specific examples and associated results, in response to the announcement's mandatory criteria specified in this vacancy announcement:
Experience utilizing existing workflows or assisting in the development of techniques to process imagery, raster, and/or 3D data
Academic or professional experience applying fundamental concepts of imagery science, photogrammetry, spectroscopy, lidar/3D, multispectral, hyperspectral, SAR, and/or thermal image processing
Experience applying established remote sensing analytic techniques to assist in solving scientific or operational intelligence problems
Experience contributing to the development of written reports or briefings to communicate findings
Experience working with team members to complete assigned tasks
EDUCATION REQUIREMENT: A. Education: Bachelor's degree from an accredited college or university in Engineering, Imagery Science, Mathematics, Physical Science, Remote Sensing, Geography, Computer Science, Data Analytics, or a related discipline that included 24 semester hours in Physical Science and/or related Engineering Science such as Dynamics, Electronics, Mechanics, and Properties of Materials. -OR- B. Combination of Education and Experience: A minimum of 24 semester (36 quarter) hours of coursework in any area listed in option A that included at least 24 semester hours in Physical Science and/or related Engineering Science, plus experience that involves processing, analyzing, and exploiting multibanded imagery to extract intelligence and geospatial information, or a related field that demonstrates the ability to successfully perform the duties associated with this work. As a rule, every 30 semester (45 quarter) hours of coursework is equivalent to one year of experience. Candidates should show that their combination of education and experience totals 4 years.
PHYSICAL REQUIREMENT: Near visual acuity of 20/60 or better with or without corrective lenses

DESIRABLE QUALIFICATION CRITERIA: In addition to the mandatory qualifications, experience in the following is desired:
Academic or professional experience researching analytical techniques in published literature related to remote sensing
Knowledge of scripting languages (such as Python, R, or Matlab) for data processing or analysis
Familiarity with or academic exposure to how artificial intelligence, machine learning computer vision, and/or automated feature extraction concepts are applied to remote sensing
Experience assisting with the operation, calibration, or testing of satellite, airborne, and/or ground imaging systems and chemical analysis instruments
Knowledge of standard remote sensing processing tools (e.g., RemoteView, ENVI, SocetGXP, ARCGIS Pro, Google Earth Engine)

Education:Employment Type: OTHER

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