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Virtual Image Processing Intern Jobs (NOW HIRING)

PaxeraHealth

Sr. Image Processing Engineer

Newton Center, MA · Remote

$107K - $146K/yr

Works on target detection and tracking, video georeferencing, implementing an image processing system, enhancing new software, and enabling immersive augmented and virtual reality experiences.

SkyNano

Computer Science Intern

Knoxville, TN · On-site

The intern's primary project will be the development of a semi-automated image analysis tool for carbon processing from scanning electron microscopy (SEM) images. Key Responsibilities: * Assist in ...

SkyNano

Computer Science Intern

Knoxville, TN

The intern's primary project will be the development of a semi-automated image analysis tool for carbon processing from scanning electron microscopy (SEM) images. Key Responsibilities: * Assist in ...

Ambarella

Microcode summer intern engineers at Ambarella are responsible for the design, implement and test ... Familiarity with image processing and video compression standards (e.g., MPEG, H.264/265). Must ...

Ambarella

Software Engineer Intern

Washington, DC · On-site

Microcode summer intern engineers at Ambarella are responsible for the design, implement and test ... Familiarity with image processing and video compression standards (e.g., MPEG, H.264/265). * Must ...

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Virtual Image Processing Intern information

What does a virtual image processing intern do?

A Virtual Image Processing Intern assists with analyzing, editing, and enhancing digital images using specialized software and algorithms, often working remotely. Their tasks may include cleaning up images, applying filters, extracting information, or developing automated workflows for image analysis. The role provides hands-on experience in fields like computer vision, machine learning, and digital imaging, and interns often collaborate with engineers and researchers. This position helps build technical skills and can lead to careers in imaging, graphics, or artificial intelligence.

What types of projects and tasks can a virtual image processing intern expect to work on during their internship?

As a Virtual Image Processing Intern, you can expect to work on a variety of projects such as image enhancement, object detection, and developing algorithms for image segmentation. Daily tasks may include preprocessing image datasets, implementing and testing computer vision models, and collaborating with team members to optimize processing pipelines. You’ll often use programming languages like Python and libraries such as OpenCV or TensorFlow. Interns typically work closely with both engineers and data scientists, gaining hands-on experience with real-world image datasets and industry-standard tools.

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

To thrive as a Virtual Image Processing Intern, you need foundational knowledge in image processing concepts, programming (often Python or MATLAB), and a relevant degree in computer science or engineering. Familiarity with tools and libraries such as OpenCV, scikit-image, TensorFlow, and image annotation platforms is typically required. Strong analytical thinking, attention to detail, and effective remote communication skills help you excel in collaborative virtual environments. These skills ensure you can efficiently process, analyze, and interpret image data while working seamlessly with a distributed team.

What is the difference between Virtual Image Processing Intern vs Image Processing Intern?

AspectVirtual Image Processing InternImage Processing Intern
CredentialsTypically pursuing or holding a degree in computer science, computer vision, or related fieldsSimilar credentials, often students or recent graduates in related disciplines
Work EnvironmentPrimarily remote or virtual work, using software tools and cloud platformsOften in-office or hybrid, working with physical hardware or on-site labs
Industry UsageCommon in tech companies, startups, and research institutions focusing on virtual or digital image processingUsed across industries like manufacturing, healthcare, and media for physical image analysis

In summary, Virtual Image Processing Interns focus on digital and virtual environments, often working remotely with software tools, while Image Processing Interns may work in physical settings with hardware. Both roles require similar educational backgrounds but differ mainly in work environment and industry application.

What cities are hiring for Virtual Image Processing Intern jobs?

Cities with the most Virtual Image Processing Intern job openings:

What states have the most Virtual Image Processing Intern jobs?

States with the most job openings for Virtual Image Processing Intern jobs include:

Virtual Image Processing Intern jobs near you
Infographic showing various Virtual Image Processing Intern job openings in the United States as of July 2026, with employment types broken down into 80% Full Time, 15% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution.

Image Processing Engineer / SLAM Algorithm Engineer

Position Imaging, Inc.

Portsmouth, NH

Full-time

Re-posted 8 days ago

Job description

Company Description

Highly accurate wireless tracking in 3D space, enabling large-scale, immersive augmented and virtual reality experiences without the use of any markers.

Job Description

Design and develop real 3D image processing algorithms using SLAM for Augmented and Virtual Reality applications.

Qualifications

Expert in 3D computer vision, with specific focus on Visual SLAM.

Experience in statistically optimal filtering, such as the Kalman filter.

Past success with SLAM algorithm development.

Computer vision knowledge, reconstruction, feature detection, segmentation and classification.

C/C++ programming skills.

Familiarity with OpenCV or similar.

Experience with IMUs and mono/RGB sensors.

Feature tracking and/or Structure From Motion experience.

Strong communication skills


Additional Information

Education Requirements: Master's degree in Computer Science, PhD a plus

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