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Full Time Computer Vision Intern Jobs (NOW HIRING)

The Pennsylvania State University

$86.30K - $164K/yr

POSITION SPECIFICS We are seeking a Computer Vision Engineerto join the Image Science and Computer ... full-time employees designed to support both personal and professional well-being. In addition to ...

Trunk Tools

MBA/BS Intern - Vision AI

Redmond, WA

$45/hr

Collaborate with engineers designing and implementing computer vision models and pipelines for ... Consideration for full-time opportunities upon PhD or MBA completion based on performance.

Codvo.ai

$203.20K/yr

Edge AI Architect - CUDA / C++ / Computer Vision Experience Level: 10+ Years Department: Edge AI ... Employment Type: FULL_TIME

Ambarella

We are looking for a Software Engineer intern to work on the software development tools targeting future generations of Ambarella chips for embedded Computer Vision application and Intelligent ...

IA Recruiting

Computer Systems Engineer

Winchester, VA · On-site

Full-time Computer Systems Engineer/Architect needed in Winchester, VA. 10 years of experience in ... We offer medical, dental, vision, disability, EAP and life insurance benefits as well as a 401(k) ...

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Full Time Computer Vision Intern information

What are the key skills and qualifications needed to thrive as a Full Time Computer Vision Intern, and why are they important?

To thrive as a Full Time Computer Vision Intern, you need a solid grounding in computer science fundamentals, linear algebra, and experience with machine learning and image processing algorithms, typically supported by coursework or a degree in a related field. Familiarity with programming languages like Python or C++, deep learning frameworks such as TensorFlow or PyTorch, and version control systems like Git is highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns collaborate with teams and convey technical concepts clearly. These skills and qualities are essential for developing innovative solutions, contributing to research, and adapting quickly in a fast-evolving field.

What types of projects and technologies do Full Time Computer Vision Interns typically work on, and how do they collaborate with other team members?

As a Full Time Computer Vision Intern, you can expect to work on projects involving tasks like image classification, object detection, or video analysis, often using frameworks such as TensorFlow or PyTorch. Interns commonly assist in dataset preparation, model training, and performance evaluation. Collaboration is key—you'll work closely with data scientists, software engineers, and sometimes product managers to integrate computer vision solutions into real-world applications. Regular team meetings, code reviews, and brainstorming sessions help interns learn best practices and contribute effectively while building valuable professional relationships.

What does a Full Time Computer Vision Intern do?

A Full Time Computer Vision Intern assists in developing algorithms and models that allow computers to interpret and process visual information from the world, such as images and videos. Their responsibilities often include data preprocessing, contributing to machine learning model training, and evaluating the performance of computer vision systems. They may also collaborate with other engineers and scientists to research and implement new techniques in areas like object detection, image classification, or image segmentation. This role provides hands-on experience with popular tools, frameworks, and real-world datasets, preparing interns for advanced roles in artificial intelligence and computer vision.

What is the difference between Full Time Computer Vision Intern vs Full Time Machine Learning Intern?

AspectFull Time Computer Vision InternFull Time Machine Learning Intern
Required CredentialsCurrently pursuing or recently completed a degree in Computer Science, Electrical Engineering, or related fields; knowledge of computer vision librariesSimilar educational background; familiarity with machine learning frameworks like TensorFlow or PyTorch
Work EnvironmentResearch labs, tech companies, or startups focusing on image/video analysisTech companies, research institutions working on predictive models and data analysis
Employer & Industry UsageCommon in AI, robotics, autonomous vehicles, and multimedia industriesUsed across AI, data science, and software development sectors

Both roles involve internships in AI-related fields with overlapping skills, but Computer Vision Interns focus on image and video processing, while Machine Learning Interns work on broader predictive models. The choice depends on your specific interest in visual data versus general algorithms.

More about Full Time Computer Vision Intern jobs
What are the most commonly searched types of Computer Vision Intern jobs? The most popular types of Computer Vision Intern jobs are:
What job categories do people searching Full Time Computer Vision Intern jobs look for? The top searched job categories for Full Time Computer Vision Intern jobs are:
Full Time Computer Vision Intern jobs near you
Infographic showing various Full Time Computer Vision Intern job openings in the United States as of May 2026, with employment types broken down into 4% As Needed, 4% Full Time, 88% Part Time, and 4% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution.
Staff Computer Vision AI/ML Engineer

Staff Computer Vision AI/ML Engineer

CACI International, Inc.

King Of Prussia, PA • On-site

Full-time

Medical, Retirement, PTO

Posted 8 days ago

Job description

Job Title: Staff Computer Vision AI/ML Engineer
Job Category: Science
Time Type: Full time
Minimum Clearance Required to Start: TS/SCI
Employee Type: Regular
Percentage of Travel Required: None
Type of Travel: None
Anticipated Posting End: 12/31/2026
The Opportunity:
This position, in either Aurora, CO or King of Prussia, PA, is for a Staff Computer Vision AI/ML Engineer. As a CV AI/ML Engineer, you will apply cutting-edge AI/ML-based Computer Vision algorithms to problems in remote sensing, including Automatic Target Recognition (ATR) and Multimodal Data Fusion for Electro-Optical (EO) and Synthetic Aperture RADAR (SAR).
You will be responsible for maturing, optimizing, and deploying these algorithms to a cloud-hosted environment. You will also serve as a technical leader and will have the opportunity to guide a team of researchers and developers to see these algorithms from prototype to operations.
Responsibilities:
Our ideal candidate is an experienced professional who has researched and developed AI/ML-based computer vision algorithms and deployed these algorithms to operational environments. This candidate will have the opportunity to apply their knowledge in AI/ML to solve a broad set of problems across multiple domains. This candidate will be joining a team of talented researchers and software developers with the opportunity to lead and mentor junior engineers. Additionally, they will work our technical and business strategy leadership team to help shape our growing AI/ML portfolio.
As a CV AI/ML Engineer, your responsibilities include:
  • Leading a small team consisting of developers and researchers to implement AI/ML algorithms to solve computer vision problems in remote sensing
  • Analyzing and pre-processing large remote sensing datasets
  • Researching supervised and unsupervised ATR solutions for remote sensing
  • Researching the performance benefits of multimodal data fusion for ATR, under diverse data collection scenarios
  • Training, optimizing, and deploying deep learning CV models that provide analysts with actionable insights
  • Reviewing relevant publications to understand cutting edge concepts, break down key ideas to government customers, and apply to defense and commercial applications
  • Writing technical documentation supporting code, program capabilities and user-guides

Qualifications:
Required:
  • B.S. in Data Science, AI/ML, Computer Science, or related field
  • 5+ years of experience, preferably in software development or as a data scientist with 3+ years of developing/training AI/ML model
  • Experience leading an interdisciplinary team of researchers and software developers and working with a program manager to define project scope and schedule to ensure we meet project milestones as defined by our customers
  • Experience selecting a technical AI/ML approach and then iterating/pivoting as needed to enhance performance
  • Experience with Python and any of the following Python machine learning frameworks: PyTorch, TensorFlow, Keras, PyTorch Lightning, scikit-learn / scikit-image, and/or OpenCV
  • Experience training wither convolutional-based CV models (e.g. YOLOv3-11, YOLOX) or transformer-based CV models (Vision Transformer, Swin, etc.)
  • Effective communicator with the ability to write and present technical reports both internally to the engineering team and externally to customers
  • Active TS/SCI U.S. Government Security Clearance

Desired:
  • MS or PhD in machine learning, computer science, computer vision, mathematics, or relevant fields
  • Experience with Self-Supervised Learning (SSL) and student-teacher approaches (e.g., DINO, knowledge distillation, BYOL)
  • Experience with applying AI/ML algorithms to Image Segmentation, Super Resolution, Image Denoising, Image Restoration, and Multi-INT Fusion
  • Experience with Graph Convolutional Networks (GCNs) and applying them to CV-based problems
  • Experience working with image processing chains for any of the following domains: SAR, EO, and OPIR
  • Experience working with datasets of overhead imagery like xView, SpaceNet datasets, Functional Map of the World, xView3, MSTAR, HRSID, CAESAR, DOTA v1/v2, etc.
  • Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc.
  • Experience with version control processes and tools for code version control, data version control, and model version control
  • Experience with Linux
  • Experience with implementing tracking and fusion, and pattern-of-life algorithms
  • Experience in application deployment, virtualization, and containerization
  • Experience shaping and writing proposals
  • Active TS/SCI U.S. Government Security Clearance with Polygraph

What You Can Expect:
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy.
Pay Range:
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
Since this position can be worked in more than one location, the range shown is the national average for the position.
The proposed salary range for this position is:
$98,500-$206,800
CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

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