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Computer Vision Internship Winter Jobs (NOW HIRING)

PlusAI

Computer Vision Engineer Intern

Santa Clara, CA · On-site

$19 - $65/hr

Experience with 3D Vision * Publication record in relevant venues (CVPR, ICLR, ICCV, ECCV, NeurIPS ... hour Our internship hourly rates are a standard pay determined based on the position and your ...

PlusAI

Computer Vision Engineer Intern

Santa Clara, CA

$19 - $65/hr

Experience with 3D Vision * Publication record in relevant venues (CVPR, ICLR, ICCV, ECCV, NeurIPS ... hour Our internship hourly rates are a standard pay determined based on the position and your ...

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Computer Vision Internship Winter information

What is the difference between Computer Vision Internship Winter vs Computer Vision Engineer?

AspectComputer Vision Internship WinterComputer Vision Engineer
Required CredentialsUndergraduate or graduate student, relevant courseworkBachelor's or master's degree in computer science or related field
Work EnvironmentInternship programs, research labs, tech companiesFull-time professional role, industry or research settings
Employer & Industry UsageTech companies, startups, research institutionsTech firms, AI companies, R&D departments
Search & Comparison IntentUnderstanding internship opportunities in computer visionLearning about career progression or job roles in computer vision

The Computer Vision Internship Winter is an entry-level, temporary position aimed at students gaining hands-on experience, while a Computer Vision Engineer is a full-time professional role requiring more advanced skills and experience. Internships focus on learning and skill development, whereas engineering roles involve designing and implementing complex computer vision systems.

What is a Computer Vision Internship?

A Computer Vision Internship is a temporary position, usually for students or recent graduates, where individuals work on projects related to enabling computers to interpret and process visual information from the world, such as images and videos. Interns typically assist in developing, testing, and improving algorithms for tasks like object detection, image classification, and facial recognition. These internships provide hands-on experience with machine learning frameworks, data annotation, and real-world computer vision challenges, often under the guidance of experienced professionals. They are valuable for gaining practical skills and exposure to industry tools and workflows.

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

To thrive as a Computer Vision Intern, you typically need a background in computer science, mathematics, or a related field, with strong programming skills in Python and familiarity with machine learning concepts. Experience with technical tools such as OpenCV, TensorFlow, PyTorch, and image processing libraries, as well as coursework or projects in computer vision, are highly beneficial. Analytical thinking, problem-solving abilities, and effective communication are essential soft skills for collaborating on research and development teams. These competencies enable interns to contribute meaningfully to innovative projects, adapt to evolving technologies, and effectively communicate findings within multidisciplinary teams.

What kinds of projects and responsibilities can I expect during a Computer Vision Internship in the winter term?

During a Computer Vision Internship in the winter, you can expect to work on projects involving image and video analysis, object detection, and machine learning model development under the guidance of experienced engineers or researchers. Interns typically contribute to data pre-processing, model training, and evaluation, as well as assist in integrating vision algorithms into larger software systems. You may also participate in code reviews, team meetings, and collaborate closely with cross-functional teams such as software development and data science. This hands-on experience is designed to build your technical skills while exposing you to real-world challenges and workflows in the computer vision field.
Infographic showing various Computer Vision Internship Winter job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 92% Full Time, 6% Part Time, and 1% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution.

Computer Vision PhD Intern (Summer 2026)

Reality Defender

New York, NY • Remote

$5.0K - $7.0K/mo

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Who we are.

Reality Defender is an award-winning cybersecurity company helping enterprises and governments detect deepfakes and AI-generated media. Utilizing a patented multi-model approach, Reality Defender is robust against the bleeding edge of generative platforms producing video, audio, imagery, and text media. Reality Defender's API-first deepfake detection platform empowers teams and developers alike to identify fraud, disinformation campaigns, and harmful deepfakes in real time.

Backed by world class investors including DCVC, Illuminate Financial, Y Combinator, Booz Allen Hamilton, IBM, Accenture, Rackhouse, and Argon VC, Reality Defender works with leading enterprise clients, financial institutions, and governments in order to ensure AI-generated media is not used for malicious purposes.

Youtube: Reality Defender Wins RSA Most Innovative Startup

The Computer Vision Internship.

This 3-month internship is designed for current PhD students and candidates to partner with Reality Defender's AI team to generate cutting-edge research and publish peer-reviewed papers. Your primary collaborator will be Jacob Seidman, who will guide and advise your efforts within deepfake image and video detection. This internship can be performed remotely, although you're welcome to work from our HQ in New York City.

What you'll do.

  • Investigate new methods for generative image/video detection.

  • Collaborate with researchers in the team.

  • Perform research of deepfake image/video detection.

  • Write up results of research for internal reports and submission to academic journals/workshops.

  • Independently implement and evaluate ideas on modern deep learning stack - Python, PyTorch, and GPU-enabled cloud compute, like AWS/GCP.

Who you are.

  • PhD student in a relevant technical field.

  • Experience in computer vision.

  • Proficient in Python and in building deep learning models with PyTorch.

  • Published peer-reviewed research papers in reputable computer vision venues, e.g. CVPR, ICCV, NeurIPS.

  • Excited about Reality Defender's mission to build a best-in-class and comprehensive deepfake and AI-generated media detection platform.

  • Available to start a research project in Summer of 2026.