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Remote Medical Image Deep Learning Jobs in Washington

Integrate hyperspectral analytics with other GEOINT, remote sensing, and intelligence data sources ... Experience with machine learning or artificial intelligence methods applied to hyperspectral data.

Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and established 1099 options (no c2c ... The position also emphasizes experience with Computer Vision, NLP, Deep Learning, LLMs, Agentic AI ...

New

Machine Learning Engineer - Remote

Vienna, VA · On-site +1

$140K - $150K/yr

Proven experience with machine learning models and algorithms (supervised, unsupervised, deep learning, etc.). * Solid background in software engineering principles and best practices. * Hands-on ...

AI/ML Subject Matter Expert

Vienna, VA · Remote

$195K - $210K/yr

Project work in deep learning, transformers, computer vision, NLP, or chatbot development ... Ability to thrive in a mainly remote work environment * Commitment to continuous learning in the ...

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Remote Medical Image Deep Learning information

What is the difference between Remote Medical Image Deep Learning vs Remote Medical Imaging Technician?

AspectRemote Medical Image Deep LearningRemote Medical Imaging Technician
CredentialsBackground in AI, machine learning, or computer science; often requires advanced degreesCertification in radiologic technology or imaging; typically requires licensing
Work EnvironmentPrimarily remote, focused on data analysis and model developmentRemote or on-site, involved in image acquisition and processing
Industry UsageUsed in healthcare AI development, research, and diagnostics supportUsed in hospitals, clinics, and imaging centers for patient care

Remote Medical Image Deep Learning focuses on developing AI models to analyze medical images, requiring expertise in AI and data science. In contrast, Remote Medical Imaging Technicians handle image acquisition and processing, often with clinical certifications. Both roles are vital in healthcare but differ in skills, responsibilities, and work environment.

What are popular job titles related to Remote Medical Image Deep Learning jobs in Washington? For Remote Medical Image Deep Learning jobs in Washington, the most frequently searched job titles are:
What cities in Washington are hiring for Remote Medical Image Deep Learning jobs? Cities in Washington with the most Remote Medical Image Deep Learning job openings:
Hyperspectral Image Scientist

Hyperspectral Image Scientist

Leidos

Springfield, VA • On-site, Remote

$92K - $166K/yr

Full-time

Posted 7 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 430 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 onlyand 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.


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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

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