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Computer Vision Intern information

What is a computer vision intern?

A Computer Vision Intern is a student or entry-level professional who assists in developing and implementing computer vision algorithms. Their work typically involves image processing, machine learning, and deep learning techniques to analyze visual data. Interns may contribute to data collection, model training, and fine-tuning neural networks. They often work with programming languages like Python and frameworks such as OpenCV, TensorFlow, or PyTorch. This role provides hands-on experience in applying AI to real-world visual tasks like object detection, image recognition, and video analysis.

What are some typical projects or tasks a computer vision intern might work on?

As a Computer Vision Intern, you may assist in developing algorithms for object detection, image segmentation, or pattern recognition, often working with large datasets to train and test models. Tasks can include data annotation, preprocessing images, building and fine-tuning neural networks, and evaluating model performance. Interns often collaborate closely with software engineers, data scientists, and senior researchers to solve real-world problems and enhance the company's technology stack. This hands-on experience provides valuable exposure to industry-standard tools and methodologies, laying a strong foundation for future roles in AI and computer vision.

What are the key skills and qualifications needed to thrive in the computer vision intern position, and why are they important?

To thrive as a Computer Vision Intern, you need a solid understanding of image processing, machine learning, and programming languages like Python or C++, typically supported by coursework in computer science or related fields. Familiarity with libraries such as OpenCV, TensorFlow, or PyTorch, and experience using tools like Jupyter Notebook are highly valued. Strong problem-solving abilities, teamwork, and effective communication skills will help you succeed in collaborative environments. These competencies are crucial for developing innovative computer vision applications, effectively contributing to project goals, and learning from experienced colleagues.

What are the most commonly searched types of Computer Vision jobs in New York, NY?

The most popular types of Computer Vision jobs in New York, NY are:

What are popular job titles related to Computer Vision Intern jobs in New York, NY?

For Computer Vision Intern jobs in New York, NY, the most frequently searched job titles are:

What job categories do people searching Computer Vision Intern jobs in New York, NY look for?

The top searched job categories for Computer Vision Intern jobs in New York, NY are:

What cities near New York, NY are hiring for Computer Vision Intern jobs?

Cities near New York, NY with the most Computer Vision Intern job openings:

Computer Vision Intern jobs near you
Infographic showing various Computer Vision Intern job openings in New York, NY as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution.

Research Intern, Generative AI & World Modeling

Basking Ridge, NJ

FUTUREWEI TECHNOLOGIES INC
Telecommunications • 201 - 500 employees
Learn more about FUTUREWEI TECHNOLOGIES INCexternal

Internship

Posted 8 hours ago

Posted today

Job description

Changing the world and user experiences through learned world knowledge is at the core of our team's mission. We are seeking a Research Intern with a strong foundation in statistics and applied mathematics to work alongside a diverse group of researchers. In this role, you will conduct fundamental research that bridges rigorous mathematical theory with state-of-the-art applications in machine learning, computer vision, computer graphics, and physical AI.


What You'll Do

  • Fundamental Research: Leverage statistics, probability theory, and applied math to develop novel algorithms for machine learning (ML), computer vision (CV), and computer graphics (CG).
  • Innovation & Prototyping: Translate core mathematical and statistical insights into scalable algorithms and open-source prototypes.
  • Academic Impact: Publish groundbreaking work in top-tier machine learning, computer vision, and computer graphics conferences and journals (e.g., NeurIPS, ICML, CVPR, and SIGGRAPH).

Requirements:

  • Ph.D. candidate with a strong background in statistics, probability, continuous optimization, linear algebra, or differential equations, with a passion for applying fundamental theory to real-world problems
  • Proven hands-on experience with SOTA machine learning algorithms, especially with generative machine learning and/or fine-tuning of LLMs/LVMs, and familiarity with ML implementation environments and platforms such as PyTorch and/or TensorFlow.
  • Deep knowledge and hands-on experience in computer vision and computer graphics are a plus.
  • Strong programming skills in Python or C / C++ for Windows and/or Linux are required.
  • Experience in working with open-source software frameworks is a plus
  • Self-motivated, detail-oriented team player

  • Good verbal and written communication skills

Duration of the job: 3-6 months

Employment Type: Intern

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