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Intern Computer Vision Deep Learning Engineer Jobs in Centreville, VA

Sr. Computer Vision Engineer

Herndon, VA · On-site

$107K - $147K/yr

Job Summary : 1872 Consulting is seeking a Senior Computer Vision Engineer to design and implement ... deep learning for next-generation satellite imagery analytics • Plan and conduct research in ...

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

Develop and implement deep learning computer vision models, with a focus on sensor fusion and ... Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision ...

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

Develop and implement deep learning computer vision models, with a focus on sensor fusion and ... Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision ...

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

Develop and implement deep learning computer vision models, with a focus on sensor fusion and ... Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision ...

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Intern Computer Vision Deep Learning Engineer information

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How much do intern computer vision deep learning engineer jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for intern computer vision deep learning engineer in Centreville, VA is $16.89, according to ZipRecruiter salary data. Most workers in this role earn between $14.28 and $19.04 per hour, depending on experience, location, and employer.

What does an intern computer vision deep learning engineer do?

An Intern Computer Vision Deep Learning Engineer assists in developing and improving algorithms that enable computers to interpret and understand visual information from the world, such as images and videos. They often work on tasks like image classification, object detection, and facial recognition using deep learning frameworks like TensorFlow or PyTorch. Interns typically help with data collection, model training, evaluation, and sometimes deployment, all under the guidance of experienced team members. This role is a great opportunity to gain hands-on experience in machine learning and computer vision while contributing to real-world projects.

What are the key skills and qualifications needed to thrive as an intern computer vision deep learning engineer?

To thrive as an Intern Computer Vision Deep Learning Engineer, you need a solid understanding of machine learning fundamentals, computer vision concepts, and proficiency in programming languages like Python, often supported by coursework or personal projects. Familiarity with deep learning frameworks such as TensorFlow or PyTorch and experience with image processing libraries like OpenCV are typically expected. Strong problem-solving abilities, curiosity, and effective teamwork skills help interns excel in fast-paced research and development environments. These skills are essential for contributing to innovative projects and adapting to the rapidly evolving field of computer vision.

What types of projects or tasks can I expect to work on as an intern computer vision deep learning engineer?

As an Intern Computer Vision Deep Learning Engineer, you can expect to contribute to projects involving image or video analysis, such as object detection, image classification, or facial recognition. Your daily tasks might include data preprocessing, annotating datasets, training and evaluating deep learning models, and assisting with model optimization for deployment. You’ll often work closely with senior engineers and researchers, gaining hands-on experience with real-world datasets and cutting-edge frameworks. Collaboration with cross-functional teams, such as software developers and product managers, is common to ensure your models address practical business needs.

What is the difference between Intern Computer Vision Deep Learning Engineer vs Intern Machine Learning Engineer?

AspectIntern Computer Vision Deep Learning EngineerIntern Machine Learning Engineer
Required SkillsComputer vision, deep learning, CNNs, Python, TensorFlow/PyTorchMachine learning, algorithms, Python, scikit-learn, TensorFlow/PyTorch
Work EnvironmentResearch labs, tech companies, startups focusing on image/video analysisTech companies, research labs, startups working on diverse ML applications
Industry UsagePrimarily in computer vision projects like object detection, image segmentationBroader ML projects including predictive modeling, NLP, recommendation systems

Intern Computer Vision Deep Learning Engineers focus on image and video analysis using deep learning techniques, while Intern Machine Learning Engineers work on a wider range of ML applications. Both roles require strong Python skills and familiarity with deep learning frameworks, but their project focus and industry applications differ.

What are the most commonly searched types of Computer Vision Deep Learning Engineer jobs in Centreville, VA?

The most popular types of Computer Vision Deep Learning Engineer jobs in Centreville, VA are:

What are popular job titles related to Intern Computer Vision Deep Learning Engineer jobs in Centreville, VA?

For Intern Computer Vision Deep Learning Engineer jobs in Centreville, VA, the most frequently searched job titles are:

What job categories do people searching Intern Computer Vision Deep Learning Engineer jobs in Centreville, VA look for?

The top searched job categories for Intern Computer Vision Deep Learning Engineer jobs in Centreville, VA are:

What cities near Centreville, VA are hiring for Intern Computer Vision Deep Learning Engineer jobs?

Cities near Centreville, VA with the most Intern Computer Vision Deep Learning Engineer job openings:

Sr. Computer Vision Engineer

1872 Consulting

Herndon, VA • On-site

$107K - $147K/yr

Full-time

Re-posted 25 days ago


Job description

Job Summary:
1872 Consulting is seeking a Senior Computer Vision Engineer to design and implement innovative computer vision solutions for satellite imagery analytics. The role involves conducting research, developing algorithms, and collaborating with teams throughout the project lifecycle.
Responsibilities:
• Design and implement computer vision solutions that exploit machine learning, statistical learning, and deep learning for next-generation satellite imagery analytics
• Plan and conduct research in projects related to computer vision, probabilistic modeling, predictive analytics, and content curation
• Develop and prototype algorithms, models, and analytical tools for solving domain specific business problems
• Take part in the entire project lifecycle from requirements development to deployment
• Collaborate with management and technical team on product strategy
Qualifications:
Required:
• 5+ years of hands-on experience as a computer vision engineer, machine learning engineer, or data scientist with at least 2 years focused on computer vision
• Bachelor's Degree or higher in one of the following fields: computer science, data science, mathematics, physics, statistics, or another computational field
• Python 3 proficiency
• Hands on experience working with large imagery data sets including image normalization, image augmentation, raster/vector visualization, etc.
• Experience developing deep learning-based software solutions. In particular, developing models in TensorFlow or PyTorch, and Keras
• Familiarity with open source python computer vision libraries such as Scikit-image, Rasterio, OpenCV, Pillow, Shapely, etc.
• Ability to create and follow standard software development processes and clearly document results
• Strong ability to communicate concepts and analytical results with customers, management, and the technical team, highlighting actionable insights
• US Citizenship Required
Preferred:
• 8+ years of hands-on experience as a computer vision engineer, machine learning engineer or data scientist
• Ph.D./Master's degree in the previously mentioned fields
• Current knowledge of research literature in computer vision
• Experience working with remote sensing data, ideally satellite imagery and an understanding of Geospatial software (GDAL, osgeo, etc.) and programming standards
• Familiarity researching and prototyping unsupervised and semi-supervised deep learning-based algorithms
• Experience developing asynchronous processing algorithms and Cloud-based solutions (especially AWS services like EC2 & S3)
Company:
1872 Consulting is a recruitment and IT consulting company. Founded in 1872, the company is headquartered in Chicago, USA, with a team of 11-50 employees. The company is currently Early Stage.

1872 Consulting logo

About 1872 Consulting

Sourced by ZipRecruiter

1872 Consulting, based in Chicago, IL, USA, operates within the IT consulting industry. Armed with a diverse team of experts, the company offers specialized IT consulting services, focusing on modernizing business technologies and driving innovative business strategies. Established in 1872, the company has a rich history marked by its commitment to bridging the gap between businesses and technology. Its mission is to empower organizations to surpass their business goals by providing state-of-the-art IT solutions and service. The company prides itself on its core values of integrity, excellence, and innovation, instilling these principles in every project they undertake.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Chicago, IL, US

Year founded

2014