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Remote Image Processing Scientist Jobs in Colorado

CACI

Staff Computer Vision AI/ML Engineer

Aurora, CO · Remote

Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type: Regular ... and pre-processing large remote sensing datasets Researching supervised and unsupervised ATR ...

CACI

Staff Computer Vision AI/ML Engineer

Aurora, CO · Remote

Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type: Regular ... and pre-processing large remote sensing datasets Researching supervised and unsupervised ATR ...

Lynker Corporation

Senior Wetlands Scientist

Boulder, CO · On-site +1

$94K - $129K/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 Wetlands Scientist

Boulder, CO · On-site +1

$90K - $130K/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 ...

SAIC

Data Scientist

Colorado Springs, CO · On-site +1

$120K - $160K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Data Scientist to join ... Develop, maintain, and enhance complex and diverse software algorithms (e.g. processing-intensive ...

Booz Allen Hamilton, Inc.

Data Scientist

Aurora, CO · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0247279 Location: Aurora,CO,US Share job via: Share Data Scientist The ... Experience with natural language processing, text mining, or machine learning techniques * TS/SCI ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Aurora, CO · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0246471 Location: Aurora,CO,US Share job via: Share Data Scientist ... Identity Statement As part of the hiring process, we will ask you to complete an identity ...

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Remote Image Processing Scientist information

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 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 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 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 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.

Staff Computer Vision AI/ML Engineer

Vets Hired

Aurora, CO • Remote

Full-time

Posted 6 days ago

Key responsibilities

  • Lead the research, development, optimization, and deployment of AI/ML-based computer vision solutions for remote sensing applications.

  • Analyze and preprocess large remote sensing datasets, and train, optimize, and deploy deep-learning computer vision models.

  • Guide and mentor junior engineers, researchers, and software developers, and collaborate with program management to define project scope, schedules, and milestones.

Job description

Job Summary

The Staff Computer Vision AI/ML Engineer leads the research, development, optimization, and deployment of AI/ML-based computer vision solutions for remote sensing applications. The role focuses on Automatic Target Recognition (ATR), multimodal data fusion, deep learning, image processing, and cloud-based deployment. This position also provides technical leadership by guiding researchers and software developers and helping mature AI/ML capabilities from prototype through operational deployment.

Key Responsibilities
  • Lead a team of developers and researchers implementing AI/ML algorithms for computer vision and remote sensing.
  • Analyze and preprocess large remote sensing datasets.
  • Research supervised and unsupervised Automatic Target Recognition (ATR) solutions.
  • Research multimodal data fusion for ATR across diverse data-collection scenarios.
  • Train, optimize, and deploy deep-learning computer vision models.
  • Apply AI/ML techniques to solve computer vision problems across multiple domains.
  • Evaluate emerging research and publications related to AI/ML and computer vision.
  • Translate complex technical concepts into understandable information for government customers.
  • Apply AI/ML research to defense and commercial applications.
  • Guide and mentor junior engineers, researchers, and software developers.
  • Collaborate with program management to define project scope, schedules, and milestones.
  • Select appropriate AI/ML approaches and iterate or pivot strategies to improve performance.
  • Develop technical documentation, code documentation, capability descriptions, and user guides.
  • Support the development and growth of AI/ML technical capabilities and strategy.
Required Qualifications
  • Active TS/SCI security clearance.
  • Bachelor's degree in Data Science, AI/ML, Computer Science, or a related field.
  • 10+ years of professional experience, preferably in software development or data science.
  • 5+ years of experience developing and training AI/ML models.
  • Experience leading interdisciplinary teams of researchers and software developers.
  • Experience working with program managers to define project scope, schedules, and milestones.
  • Experience selecting, evaluating, and improving AI/ML approaches.
  • Strong Python programming experience.
  • Experience with AI/ML frameworks such as PyTorch, TensorFlow, Keras, PyTorch Lightning, scikit-learn, scikit-image, or OpenCV.
  • Experience developing convolutional or transformer-based computer vision models.
  • Strong technical communication and documentation skills.
  • Ability to prepare and present technical reports to engineering teams and customers.
Desired Qualifications
  • MS or PhD in Machine Learning, Computer Science, Computer Vision, Mathematics, or a related field.
  • Experience with Self-Supervised Learning (SSL), DINO, knowledge distillation, or BYOL.
  • Experience with image segmentation, super resolution, image denoising, image restoration, and Multi-INT fusion.
  • Experience with Graph Convolutional Networks (GCNs).
  • Experience with SAR, EO, or OPIR image-processing chains.
  • Experience with overhead imagery datasets such as xView, SpaceNet, MSTAR, HRSID, DOTA, and similar datasets.
  • Familiarity with AWS services such as EC2, S3, and Lambda.
  • Experience with code, data, and model version-control processes.
  • Experience with Linux.
  • Experience with tracking, fusion, and pattern-of-life algorithms.
  • Experience with application deployment, virtualization, and containerization.
  • Experience supporting proposal development and writing.
  • Active TS/SCI clearance with Polygraph.