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Intern Computer Vision Deep Learning Engineer Jobs

Carbon Robotics

Deep Learning Engineer

Seattle, WA · On-site

$140K - $220K/yr

LaserWeeder combines computer vision, AI, robotics, and high-powered lasers to identify weeds and ... YouTube | X | Instagram | LinkedIn | News Deep Learning Engineer As a Deep Learning Engineer at ...

Carbon Robotics

Deep Learning Engineer

Seattle, WA · On-site

As a Deep Learning Engineer, you will design, develop, and deploy deep learning systems for ... for computer vision in agricultural environments • Own model optimization and deployment ...

Carbon Robotics

Deep Learning Engineer

Seattle, WA · On-site

$140K - $220K/yr

LaserWeeder combines computer vision, AI, robotics, and high-powered lasers to identify weeds and ... YouTube | X | Instagram | LinkedIn | News Deep Learning Engineer As a Deep Learning Engineer at ...

Carbon Robotics

Deep Learning Engineer

Seattle, WA · On-site

As a Deep Learning Engineer, you will design, develop, and deploy deep learning systems for ... for computer vision in agricultural environments • Own model optimization and deployment ...

Sapios

Computer Vision Engineer

Sacramento, CA · On-site

$121K - $143K/yr

Strong background in computer vision, deep learning, or robotics. * Hands-on experience with ... Solid programming skills in Python (C++/Swift is a plus). * Experience with real-time systems or ...

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

As of Sep 9, 2026, the average hourly pay for intern computer vision deep learning engineer in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 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.

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Intern Computer Vision Deep Learning Engineer jobs near you
Infographic showing various Intern Computer Vision Deep Learning Engineer job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, and 6% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $35,436 per year, or $17 per hour.

Principal Computer Vision Engineer

Herndon, VA • On-site

1872 Consulting
IT Services • 11 - 50 employees
Learn more about 1872 Consultingexternal

Full-time

Re-posted 4 days ago

Job description

Job Summary:
1872 Consulting is seeking a Principal Computer Vision Engineer to design and implement advanced computer vision solutions for satellite imagery analytics. The role involves research planning, algorithm development, and collaboration with technical teams to meet project goals.
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
• Leads team members to accomplish project goals, contribute to technical proposals as needed, and interact with customers to ensure requirements are understood and met
Qualifications:
Required:
• 8+ years of hands-on experience as a computer vision engineer, machine learning engineer, or data scientists 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
• Hands on experience working with large imagery data sets including image normalization, image augmentation, raster/vector visualization, etc.
• Familiarity researching and prototyping unsupervised and semi-supervised deep learning-based algorithms
• Python 3 proficiency
• 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.
• Strong ability to communicate concepts and analytical results with customers, management, and the technical team, highlighting actionable insights
• Must be a US Person for this role
Preferred:
• 10+ 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
• Experience working with remote sensing data, ideally satellite imagery with an understanding of Geospatial software (GDAL, osgeo, etc.) and programming standards
• 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

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