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Computer Vision Internship Winter Jobs (NOW HIRING)

NEC Labs

ML - Research Intern 2026

Princeton, NJ · On-site

The Machine Learning Department invites applications for winter, summer, and fall 2026 internships ... in computer vision for real-time awareness and industrial digital twin, natural language ...

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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.

2026 Fall Intern, Computer Vision/AI

Samsung Research America Internship

Mountain View, CA • On-site

$48 - $63/hr

Internship

Posted 21 days ago

Job description

Lab Summary:
Samsung AI Research Center (SAIC) located in Mountain View, California, is currently recruiting outstanding research interns for the Vision Intelligence lab. Our goal is to perform long-term research with potential for direct impact on future Samsung products reaching hundreds of millions of users worldwide. We are focused on pushing the state-of-the-art in multimodal understanding and generation.
Position Summary:
In this position, the student will collaborate with leading researchers on a project related to the lab's interests in multimodal (image, video, 3D, text) retrieval, question answering, reasoning, generation and editing.
Position Responsibilities:
  • Conduct research on multi-modal models in one the above-mentioned area
  • Write maintainable code to implement research ideas
  • Work closely with the team to discuss findings and improve the method
  • Executing experiments, documenting their progress and presenting insights
  • Prepare findings for submission to a major conference or journal

Required Skills:
  • Currently pursuing a MS or PhD degree
  • Experience with programming in Python, Pytorch, Transformers etc.
  • Previous publications in top-tier conference and journals in CV/ML/AI such as CVPR, ECCV, ICCV, ICML, NeurIPS, AAAI
  • Experience in one or more of the following areas:
    • Experience in VLMs including model architecture design, pretraining or post training (SFT, RLHF, GRPO) techniques
    • Experience in diffusion models and other generative AI approaches for image/video/3D domains
    • Experience in design and development of efficient multi-modal models using techniques like knowledge distillation, mixture of experts etc.
    • Experience in Vision Language Action Models (VLA) for Agentic systems in robotics, GUI based task automation etc.
  • Strong oral and written communication skill

Our total rewards programs are designed to motivate and engage exceptional talent. The hourly pay rate range for roles at this level is listed below, but may be higher or lower in other states due to geographic differentials in the labor market. Within the hourly pay rate range, individual rates depend on a number of factors-including the role's function and location as well as the individual's knowledge, skills, experience, education and training. This is part of our comprehensive compensation package with annual bonus eligibility and generous benefits to help you live life well.
Hourly Pay Rate Range
$48-$63 USD
Additional Information
Disclosure of Trade Secrets
Samsung has a strict policy on trade secrets. In applying to Samsung and progressing through the recruitment process, you must not disclose any trade secrets of a current or previous employer.
Essential Job Functions
This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, and frequently operate standard office equipment, such as telephones and computers.
Samsung Research America is committed to complying with all Federal, State and local laws related to the employment of qualified individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact the recruiter or email sratalent@samsung.com.
Equal Employment Opportunity
At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.
Samsung Research America is committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.
For more information regarding protection from discrimination under Federal law for applicants and employees, please refer to this link: Pay Transparency

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