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Computer Vision Engineer Intern Jobs in Virginia

AIToolboard

Computer Vision Software Engineers

Mclean, VA · On-site

$95 - $120/hr

/Computer Vision Software Engineers# Computer Vision Software Engineers00100 LEIDOS, INC.McLean ... To promote these efforts, Leidos is looking for a onsite mid-level Software Engineer to join our ...

Kitware

Computer Vision Researcher

Arlington, VA · On-site

$155K - $215K/yr

Team Description: Kitware's computer vision team is a leader in the creation of cutting-edge ... Research and Development Engineers at Kitware also enjoy benefits commonly associated with a ...

Kitware

Computer Vision Researcher

Arlington, VA

$155K - $215K/yr

Team Description: Kitware's computer vision team is a leader in the creation of cutting-edge ... Research and Development Engineers at Kitware also enjoy benefits commonly associated with a ...

Kitware

Computer Vision Researcher

Arlington, VA · On-site

$155K - $215K/yr

Team Description: Kitware's computer vision team is a leader in the creation of cutting-edge ... Research and Development Engineers at Kitware also enjoy benefits commonly associated with a ...

BWXT

Data Scientist, Computer Vision

Lynchburg, VA · On-site

S.-based company, BWXT is a Fortune 1000 and Defense News Top 100 manufacturing and engineering ... Your Day to Day as a Data Scientist, Computer Vision: * Lead end to end Computer Vision ...

Kitware

3D Computer Vision Researcher

Arlington, VA · On-site

$155K - $215K/yr

Kitware's 3D computer vision team develops algorithms and open source applications for ... Research and Development Engineers at Kitware also enjoy benefits commonly associated with a ...

Kitware

3D Computer Vision Researcher

Arlington, VA · On-site

$155K - $215K/yr

Kitware's 3D computer vision team develops algorithms and open source applications for ... Research and Development Engineers at Kitware also enjoy benefits commonly associated with a ...

Kitware

3D Computer Vision Researcher

Arlington, VA

$155K - $215K/yr

Kitware's 3D computer vision team develops algorithms and open source applications for ... Research and Development Engineers at Kitware also enjoy benefits commonly associated with a ...

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All JobsComputer Vision Engineer Intern JobsComputer Vision Engineer Intern Jobs in Virginia

Computer Vision Engineer Intern information

What does a computer vision engineer intern do?

A Computer Vision Engineer Intern assists in developing and implementing algorithms that enable computers to process and interpret visual information from the world, such as images or videos. They often work on projects involving object detection, image segmentation, and other tasks related to image analysis and machine learning. Interns usually collaborate with experienced engineers, contribute to codebases, and help test and optimize models for various applications. Their work supports industries like robotics, healthcare, automotive, and more.

What types of projects and tasks can a computer vision engineer intern typically expect to work on during their internship?

As a Computer Vision Engineer Intern, you can expect to be involved in a variety of hands-on projects such as developing image recognition algorithms, annotating datasets, and testing computer vision models for accuracy and performance. Interns often collaborate closely with senior engineers and data scientists, contributing to tasks like data preprocessing, model training, and performance benchmarking. This role offers a great opportunity to gain practical experience with popular frameworks such as OpenCV and TensorFlow, and to develop skills in both research and applied development within interdisciplinary teams.

What are the key skills and qualifications needed to thrive as a computer vision engineer intern, and why are they important?

To thrive as a Computer Vision Engineer Intern, you need a solid background in computer science, mathematics, and image processing, typically supported by coursework or experience in machine learning and programming (Python, C++). Familiarity with frameworks like OpenCV, TensorFlow, or PyTorch, and experience using annotation tools or version control systems is highly valuable. Strong problem-solving, analytical thinking, and the ability to collaborate effectively help interns stand out. These skills and qualities are crucial for developing, testing, and optimizing computer vision models in a fast-paced, team-oriented environment.
What are the most commonly searched types of Computer Vision Engineer jobs in Virginia? The most popular types of Computer Vision Engineer jobs in Virginia are:
What are popular job titles related to Computer Vision Engineer Intern jobs in Virginia? For Computer Vision Engineer Intern jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Computer Vision Engineer Intern jobs in Virginia look for? The top searched job categories for Computer Vision Engineer Intern jobs in Virginia are:
What cities in Virginia are hiring for Computer Vision Engineer Intern jobs? Cities in Virginia with the most Computer Vision Engineer Intern job openings:
Computer Vision Engineer Intern jobs near you
Infographic showing various Computer Vision Engineer Intern job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Machine Learning Engineer - Computer Vision

CaseGuard

Arlington, VA • On-site

Full-time

Re-posted yesterday

Job description

Job Summary:
CaseGuard is seeking a highly skilled and motivated Machine Learning Engineer specializing in Computer Vision to join their team. The role involves developing and deploying machine learning models focused on image and video processing, collaborating with cross-functional teams to design and optimize vision-based AI solutions.
Responsibilities:
• Design, develop, and deploy computer vision models for tasks such as object detection, object tracking, video segmentation, and facial recognition.
• Optimize and fine-tune deep learning algorithms for real-time performance.
• Work closely with the software engineers and product teams to identify opportunities for leveraging data.
• Collect, clean, and preprocess large datasets to prepare for model training and evaluation.
• Evaluate and optimize machine learning models for accuracy, performance, and scalability.
• Deploy models into production environments and monitor their performance to ensure reliability.
• Stay up-to-date with the latest advancements in computer vision and artificial intelligence.
• Collaborate with cross-functional teams to integrate machine learning solutions into business processes.
• Document processes, models, and implementations to ensure reproducibility and scalability.
Qualifications:
Required:
• Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Experience in deep learning models, their training, and hyperparameter tuning using libraries such as TensorFlow, PyTorch, and Transformers or other Huggingface tools.
• Experience with data manipulation tools such as Pandas, NumPy, and SQL.
• Strong programming skills in Python and C++.
• Experience in MLOps principles and model deployment and instrumentation on cloud platforms such as AWS, Azure, or Google Cloud for model deployment and knowledge with efficient serving tools such as ONNX, triton, and vllm.
• Proficiency in working with image and video data, including preprocessing and augmentation techniques.
• Strong understanding of machine learning algorithms, including supervised and unsupervised learning and deep learning.
• Strong communication skills and the ability to work collaboratively in a team environment.
Preferred:
• Familiarity with containerization and orchestration tools like Docker and Kubernetes.
• Experience with version control systems such as Git.
• Understanding software engineering best practices, including code review, testing, and documentation.
• Experience with Large Language Models (LLMs) is a great plus.
• Experience with data annotation tools and processes.
Company:
CaseGuard is a management solutions company. Founded in , the company is headquartered in Sterling, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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