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Intern Computer Vision Deep Learning Engineer Jobs in Virginia

Computer Vision Engineer - Senior

Springfield, VA · On-site

$109.20K - $149.90K/yr

... deep learning tools such as PyTorch and TensorFlow; experience with Swift (OpenStack client) is ... computer vision techniques. • Strong engineering fundamentals, including experience with Git ...

SIMILAR CAREER TITLESData Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML Researcher ...

SIMILAR CAREER TITLESData Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML Researcher ...

SIMILAR CAREER TITLESData Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML Researcher ...

SW Engineer Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum Clearance ... Expertise in natural language processing (NLP) or computer vision. * Proficiency with machine ...

Computer Vision Engineer

Sterling, VA

$110.80K - $130.60K/yr

As a Computer Vision Engineer, you will be responsible for: * Continuous design, development ... It is important to us that anyone on our team that is interested in learning how to use our various ...

Develop modern deep learning models using CNNs (ResNet/EfficientNet) and Vision Transformers (ViT ... A bachelor's degree in computer science, electrical engineering, physics, or related field is ...

SW Engineer Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum Clearance ... Expertise in natural language processing (NLP) or computer vision. * Proficiency with machine ...

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Intern Computer Vision Deep Learning Engineer information

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 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 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 Virginia? The most popular types of Computer Vision Deep Learning Engineer jobs in Virginia are:
What are popular job titles related to Intern Computer Vision Deep Learning Engineer jobs in Virginia? For Intern Computer Vision Deep Learning Engineer jobs in Virginia, the most frequently searched job titles are:
What cities in Virginia are hiring for Intern Computer Vision Deep Learning Engineer jobs? Cities in Virginia with the most Intern Computer Vision Deep Learning Engineer job openings:

Computer Vision Engineer - Senior

GRVTY

Springfield, VA • On-site

$109.20K - $149.90K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


Job description

What Impact You'll Have:
Join a mission-focused team where your work truly matters. We are seeking a Senior Computer Vision Engineer to help build cutting-edge solutions that support critical national defense operations. This role combines hands-on development, system-level thinking, and close collaboration with cross-functional teams including software engineers, systems integrators, and program managers.
You'll be at the forefront of designing and deploying real-time computer vision systems that perform in dynamic and often high-stakes environments. This is a results-driven role within an ML-Ops environment focused on delivering production-ready solutions, processing large-scale data, and ensuring robust model deployment and performance in real-world conditions.
In this role, you will also contribute to full lifecycle systems engineering activities, ensuring the translation of mission requirements into scalable, effective, and supportable technical solutions across both software and integrated systems.
What You'll Be Owning:
• Design and implement advanced vision models for tasks such as object detection, tracking, scene understanding, and activity recognition.
• Collaborate with engineering teams to integrate vision capabilities into defense systems.
• Optimize performance for edge devices and embedded systems.
• Complete testing and validation of computer vision systems.
• Contribute to system architecture, technical strategy, and full lifecycle systems engineering activities.
• Perform technical planning, system integration, verification and validation, cost and risk analyses, and supportability and effectiveness assessments.
• Conduct functional analysis, timeline analysis, trade studies, requirements allocation, and interface definition to translate customer requirements into hardware and software specifications.
• Support system development across all lifecycle phases including concept, design, fabrication, test, installation, operation, maintenance, and disposal.
• Ensure the logical and systematic conversion of customer and product requirements into total systems solutions that account for technical, schedule, and cost constraints.
• Mentor junior engineers and help define best practices for the team.
• Maintain security and compliance throughout the development lifecycle.
What You Must Have:
• Active TS/SCI clearance with Polygraph eligibility.
• Bachelor's degree in Computer Science, Data Science, or a related field; equivalent experience will be considered.
• 9+ years of experience in computer vision, machine learning, or closely related fields.
• Proficiency in Python and its ecosystem, including frameworks and libraries such as Flask, SQLAlchemy, Boto3, NumPy, and Pillow, as well as deep learning tools such as PyTorch and TensorFlow; experience with Swift (OpenStack client) is also required.
• Proficiency in writing and optimizing SQL queries for data retrieval, analysis, and management.
• Experience with modern computer vision models such as YOLO, Faster R-CNN, and Vision Transformers.
• Familiarity with OpenCV and classical computer vision techniques.
• Strong engineering fundamentals, including experience with Git, Docker, and CI/CD practices.
• Experience with machine learning utilities such as MLflow, Optuna, and DVC.
What Would be Nice to Have:
• Experience supporting government or defense-related programs.
• 5+ years of experience developing Python scripts for data automation, process optimization, and machine learning workflow implementation.
• Knowledge of real-time video analytics, sensor fusion, or 3D perception.
• Experience working within secure or classified development environments.
#LI-CM1
Why Choose GRVTY
The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We're purpose-built to tackle the most entrenched, systemic national security issues around the world.
We partner with our customers to help them overcome challenges in every corner of technology and defense-including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives.
At GRVTY, we believe that when our employees thrive, our company thrives. That's why we offer a comprehensive and competitive benefits package designed to support your well-being, growth, and work-life balance.
• Robust health plan including medical, dental, and vision
• Health Savings Account with company contribution
• Annual Paid Time Off and Paid Holidays
• Paid Parental Leave
• 401k with generous company match
• Training and Development Opportunities
• Award Programs
• Variety of Company Sponsored Events
EEO Statement
GRVTY, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran and will not be discriminated against on the basis of disability.
Anyone requiring reasonable accommodations should email recruiting@grvty.com or call 703-544-7930 with requested details. A member of the HR team will respond to your request within 2 business days.
Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov)
Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.