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Intern Computer Vision Deep Learning Engineer Jobs in Frederick, MD

Triad Engineering

Civil Engineering Intern

Hagerstown, MD

$16.25 - $21.25/hr

Medical, dental, vision insurance * 401(k) plan * Paid holidays * Life, Short- and Long-term ... Must be comfortable performing computer functions * Must be available to work in all types of ...

Varsity Tutors

Machine Learning Tutor

Leesburg, VA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Varsity Tutors

Machine Learning Tutor

Rockville, MD · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Giesecke & Devrient

UICC Engineering Intern

Dulles, VA

$16.50 - $21.50/hr

The UICC Engineering Intern will assist the UICC Engineering department in various projects and ... Prefer major in computer engineering, computer science, electrical engineering or software ...

Giesecke+Devrient

UICC Engineering Intern

Dulles, VA · On-site

$16.50 - $21.50/hr

The UICC Engineering Intern will assist the UICC Engineering department in various projects and ... Prefer major in computer engineering, computer science, electrical engineering or software ...

CTIS, Inc.

AI/ML Solution Engineer

Rockville, MD · On-site

$140K - $180K/yr

... Computer Science, Engineering, or a related field. * A minimum of 5 years of proven track record in developing and delivering AI/ML solutions. * Expert knowledge of machine learning, deep learning ...

CTIS, Inc.

AI/ML Solution Engineer

Rockville, MD

$140K - $180K/yr

... Computer Science, Engineering, or a related field. * A minimum of 5 years of proven track record in developing and delivering AI/ML solutions. * Expert knowledge of machine learning, deep learning ...

CTIS, Inc.

AI/ML Solution Engineer

Rockville, MD · On-site

$140K - $180K/yr

... Computer Science, Engineering, or a related field. * A minimum of 5 years of proven track record in developing and delivering AI/ML solutions. * Expert knowledge of machine learning, deep learning ...

Axle Informatics LLC

Marketing Intern

Rockville, MD · On-site

$15.25 - $20.50/hr

Company Description Axle Informatics is looking for a quick learning, detail-oriented student to be ... With experts in software engineering, bioinformatics and program management, we focus on developing ...

Axle Informatics LLC

Marketing Intern

Rockville, MD · On-site

$15.25 - $20.50/hr

Company Description Axle Informatics is looking for a quick learning, detail-oriented student to be ... With experts in software engineering, bioinformatics and program management, we focus on developing ...

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All JobsIntern Computer Vision Deep Learning Engineer JobsIntern Computer Vision Deep Learning Engineer Jobs in Frederick, MD

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 Jul 11, 2026, the average hourly pay for intern computer vision deep learning engineer in Frederick, MD is $16.94, according to ZipRecruiter salary data. Most workers in this role earn between $14.33 and $19.13 per hour, depending on experience, location, and employer.

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 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 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, and why are they important?

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 are popular job titles related to Intern Computer Vision Deep Learning Engineer jobs in Frederick, MD? For Intern Computer Vision Deep Learning Engineer jobs in Frederick, MD, the most frequently searched job titles are:
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Intern Computer Vision Deep Learning Engineer jobs near you
Image Processing Engineer IV

Image Processing Engineer IV

Quantum Space

Rockville, MD • On-site

Full-time

Posted 24 days ago

Job description

Role Scope:
The Image Processing Engineer IV will serve as a principal technical authority for advanced optical payload and image processing applications. This role balances high level technical oversight of algorithmic deliverables with hands on development and evaluation of flight ready computer vision and image processing algorithms. The ideal candidate will bridge the gap between hardware capabilities (sensor/optics) and software execution, driving the autonomous processing capabilities for critical space missions.
Key Responsibilities:
  • Technical Oversight: Serve as the primary technical point of contact monitoring a algorithmic development. Ensure deliverables meet rigorous mission requirements, timelines, and integration standards.
  • Algorithm Development & Evaluation: Design, simulate, and evaluate advanced image processing and computer vision algorithms for real time object detection, tracking, and characterization.
  • System Level Electro Optical (EO) Evaluation: Analyze and model sensor and optical system performance to determine feasibility and optimize hardware configurations for specific mission concepts.
  • Algorithmic Transition & Scaling: Architect scalable algorithms that can pivot from initial point source tracking (Space Domain Awareness) to close range, resolved target processing (Rendezvous and Proximity Operations).

Qualifications & Competencies
  • Required Education: Master's or Ph.D. in Aerospace Engineering, Electrical Engineering, Computer Science, Physics, Optical Sciences, or a related technical discipline.
  • Core Technical Skills:
    • Deep expertise in image processing, computer vision, and pattern recognition (e.g., edge detection, feature extraction, filtering, and multi-target tracking).
    • Strong proficiency in modeling and simulation environments (such as MATLAB, Python, or C++).
    • Experience with Electro-Optical/Infrared (EO/IR) sensor modeling, radiometric budgets, and optical system performance metrics.
  • Soft Skills & Domain Expertise:
    • Proven experience managing technical milestones and requirements with external vendors or subcontractors.
    • Familiarity with space-based operational domains, orbital mechanics, or satellite subsystem constraints.
  • Preferred (Nice-to-Have):
    • Experience processing or integrating Active Optical sensors like LiDAR for 3D cloud mapping or relative navigation.
    • Experience implementing algorithms on constrained flight hardware (FPGAs, GPUs, or embedded systems).
  • Years of Experience
    • 8 to 12+ years of progressive experience in image processing and computer vision engineering, preferably within the aerospace, defense, or space systems industry.

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