ZipRecruiter

Log In

1

Image Processing Scientist Jobs (NOW HIRING)

Leidos

Hyperspectral Image Scientist

Springfield, VA · On-site

$92K - $166K/yr

The Senior Hyperspectral Image Scientist will provide subject matter expertise in spectral data processing, algorithm development, image exploitation, and applied remote sensing science. This ...

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 ... S. in Computer Science or related field. An M.S. or Ph.D. is a plus Powered by JazzHR QqWflux9B8

Apply Early

TRIAEM, LLC

Image Scientist - Senior

Springfield, VA · On-site

Image processing and Digital Signal processing experience * Image chain analysis to include sensor ... Apply image science and systems engineering experience with sensor phenomenology of NTM, Airborne ...

Arete Associates

Scientist

Tucson, AZ · On-site

$80K - $130K/yr

The successful candidate will join a multidisciplinary team of signal/image processing scientists and software engineers focused on developing robust, high-performance software solutions for advanced ...

next page

Showing results 1-20

All JobsImage Processing Scientist Jobs

Image Processing Scientist information

See salary details

$10

$48

$84

How much do image processing scientist jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for image processing scientist in the United States is $48.63, according to ZipRecruiter salary data. Most workers in this role earn between $27.64 and $65.87 per hour, depending on experience, location, and employer.

Is image processing a good career?

Image processing is a viable career path for professionals interested in computer vision, machine learning, and software development. It involves working with tools like MATLAB, OpenCV, and Python, and often requires strong analytical skills and knowledge of algorithms. The field offers opportunities in industries such as healthcare, automotive, and entertainment, with demand for skilled specialists growing as technology advances.

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

To thrive as an Image Processing Scientist, you need a solid background in mathematics, computer vision, machine learning, and programming, typically supported by an advanced degree in a related field. Familiarity with technical tools like Python, MATLAB, OpenCV, and deep learning frameworks, as well as relevant certifications, is highly valued. Strong analytical thinking, problem-solving skills, and effective communication are important soft skills for this role. These skills are essential to develop novel solutions, collaborate with multidisciplinary teams, and translate complex data into impactful visual insights.

What are the main challenges faced by Image Processing Scientists in their daily work?

Image Processing Scientists often encounter challenges such as working with large, complex datasets, optimizing algorithms for speed and accuracy, and adapting solutions to different hardware environments. Staying updated with rapidly evolving research and technologies in machine learning and computer vision can also be demanding. The role usually involves balancing independent research with collaboration across data science, engineering, and product teams. Overcoming these challenges helps scientists deliver robust, scalable solutions that meet real-world application needs.

What does an image scientist do?

An image scientist specializes in analyzing and improving images using techniques such as computer vision, machine learning, and image processing algorithms. They develop models to enhance image quality, extract information, or automate visual tasks, often working with programming tools like Python and MATLAB in research or development environments.

What does an Image Processing Scientist do?

An Image Processing Scientist develops and applies algorithms to analyze, enhance, and manipulate digital images. They work with techniques such as filtering, pattern recognition, and machine learning to extract meaningful information from images. Their role is crucial in industries like medical imaging, autonomous systems, remote sensing, and computer vision. They often collaborate with software engineers and researchers to implement and optimize image processing solutions.

Is ML a high paying job?

Machine learning (ML) roles, including positions like Image Processing Scientist, are generally well-compensated due to high demand for specialized skills in data analysis, programming, and algorithms. Salaries vary based on experience, location, and industry, but advanced ML positions often offer above-average pay compared to many other tech roles.

What engineer makes $500,000 a year?

Senior engineers in specialized fields such as software engineering, petroleum engineering, or aerospace engineering can earn $500,000 or more annually, especially with experience, bonuses, and stock options. High-level roles often require advanced skills, certifications, and leadership responsibilities.
More about Image Processing Scientist jobs
What are the most commonly searched types of Image Processing Scientist jobs? The most popular types of Image Processing Scientist jobs are:
What states have the most Image Processing Scientist jobs? States with the most job openings for Image Processing Scientist jobs include:
What job categories do people searching Image Processing Scientist jobs look for? The top searched job categories for Image Processing Scientist jobs are:
Image Processing Scientist jobs near you
Infographic showing various Image Processing Scientist job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $101,144 per year, or $48.6 per hour.
Hyperspectral Image Scientist

Hyperspectral Image Scientist

Leidos

Springfield, VA • On-site

$92K - $166K/yr

Full-time

Posted 15 days ago

Leidos rating

8.4

Company rating: 8.4 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

56th of 437 rated business services

Job description

Leidos is actively interviewing for a Senior Hyperspectral Image Scientist to join our team in Springfield, VA.
Job Summary
Senior technical position responsible for leading the analysis, exploitation, and interpretation of hyperspectral and multispectral imagery in support of government missions. The Senior Hyperspectral Image Scientist will provide subject matter expertise in spectral data processing, algorithm development, image exploitation, and applied remote sensing science. This position requires on-site support at a government facility and close collaboration with analysts, engineers, program managers, and mission stakeholders.
Primary Responsibilities
  • Lead the development, evaluation, and application of hyperspectral image analysis methodologies.
  • Perform exploitation of hyperspectral, multispectral, and related geospatial datasets to identify, classify, and characterize materials, objects, and activities of interest.
  • Develop, refine, and validate spectral-based algorithms for detection, unmixing, anomaly detection, change detection, target identification, and material classification.
  • Conduct preprocessing and calibration workflows, including radiometric correction, atmospheric correction, and geometric correction.
  • Build and maintain spectral libraries and support signature analysis, endmember extraction, and spectral matching.
  • Integrate hyperspectral analytics with other GEOINT, remote sensing, and intelligence data sources.
  • Prepare technical reports, briefings, white papers, and documentation for government stakeholders.
  • Advise leadership and mission teams on capabilities, limitations, and best practices related to hyperspectral sensing and exploitation.

Required Technical Skills
  • Hyperspectral and multispectral image exploitation
  • Spectral signature analysis and spectral library development
  • Material identification and classification
  • Sub-pixel analysis and spectral unmixing
  • Anomaly detection and change detection
  • Radiometric, atmospheric, and geometric correction
  • Algorithm development and validation
  • Python, MATLAB, ENVI/IDL, GIS, and scientific scripting
  • Data visualization and technical reporting

Work Environment
  • Work will be performed primarily on-site at a government facility.
  • Limited travel may be required based on program needs.

Basic Qualifications
  • Bachelor's degree in Remote Sensing, Imaging Science, Physics, Electrical Engineering, Geospatial Science, Applied Mathematics, Computer Science, or a related technical field.
  • Minimum of 8-12 years of relevant professional experience in hyperspectral image analysis, spectral science, remote sensing, or related technical disciplines.
  • Demonstrated experience with hyperspectral and multispectral imagery exploitation in government, defense, intelligence, or applied research environments.
  • Strong knowledge of spectral phenomenology, imaging spectroscopy, and remote sensing principles.
  • Experience with image processing and scientific analysis tools such as MATLAB, Python, ENVI/IDL, ArcGIS, or equivalent platforms.
  • Experience developing and implementing algorithms for spectral detection, classification, target recognition, or anomaly detection.
  • Strong written and verbal communication skills, including the ability to present technical findings to both technical and non-technical audiences.
  • Active TS/SCI clearance with ability to be approved for a Poly

Preferred Qualifications
  • Master's degree or Ph.D. in a relevant scientific or engineering discipline.
  • Experience supporting DoD, IC, NGA, NGA-related, or other federal mission environments.
  • Familiarity with sensor calibration, atmospheric modeling, physics-based exploitation, and sensor phenomenology.
  • Experience with machine learning or artificial intelligence methods applied to hyperspectral data.
  • Experience working with large-scale datasets, cloud-based analytics, or high-performance computing environments.
  • Knowledge of geospatial data standards, data fusion, and operational tasking workflows.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.
Original Posting:
May 20, 2026
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $92,300.00 - $166,850.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

What Leidos employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Leidos logo

About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

Social media

FacebookTwitter

View All Leidos Jobs

Apply