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Computer Vision Intern Jobs in California (NOW HIRING)

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Participate in cutting-edge research for medical applications of computer vision Must Have ...

Intel Corporation

AI Software Engineering Intern

Folsom, CA · On-site

$101 - $137/hr

... across domains such as computer vision, machine learning, and deep learning. Assists in ... As an intern, learns and applies knowledge, builds skills, and explores future career opportunities ...

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Computer Vision Intern information

See California salary details

$20.6K

$95.7K

$192.9K

How much do computer vision intern jobs pay per year?

As of Aug 20, 2026, the average yearly pay for computer vision intern in California is $95,651.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,899.00 and $142,967.00 per year, depending on experience, location, and employer.

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 California?

The most popular types of Computer Vision jobs in California are:

What are popular job titles related to Computer Vision Intern jobs in California?

For Computer Vision Intern jobs in California, the most frequently searched job titles are:

What job categories do people searching Computer Vision Intern jobs in California look for?

The top searched job categories for Computer Vision Intern jobs in California are:

What cities in California are hiring for Computer Vision Intern jobs?

Cities in California with the most Computer Vision Intern job openings:

Computer Vision Intern jobs near you
Infographic showing various Computer Vision Intern job openings in California as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $95,651 per year, or $46 per hour.

Research Scientist Intern (2025)

Whiterabbit.ai

Internship

Re-posted 6 days ago

Job description

We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a Research Scientist Intern at Whiterabbit.ai, you will:

  • Play a key role in architecting the algorithms and models that will power our products
  • Train on a dedicated high-performance compute cluster specialized for deep learning research
  • Work with doctors and healthcare professionals to identify serious problems and leverage their domain expertise to build robust solutions
  • Remain an active contributor to the research community by partnering with universities and publishing high impact papers

Who we are:

Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection of cancer with artificial intelligence. We collaborate closely with one of the top medical schools in the country and have exclusive access to one of the world’s largest cancer datasets with millions of images. We invent algorithms that make doctors more productive, more accurate, and more capable. We build products and services with a relentless focus on transforming the patient’s healthcare experience.

Responsibilities

  • Develop highly scalable classifiers and detectors that solve real-world problems
  • Learn and understand a large body of research in deep learning and machine learning
  • Participate in cutting-edge research for medical applications of computer vision

Must Have Experience

  • Experience with deep learning and convolutional networks
  • Strong theoretical and empirical research background
  • Fluency with a deep learning framework and Python

Nice to Have Experience

  • Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR
  • Large scale machine learning experience working with terabytes of data
  • Implemented custom operations/modules in a deep learning framework
  • Imagination, ambition, and curiosity

Apply