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Computer Vision Intern Jobs in California (NOW HIRING)

Experience with 3D Vision * Publication record in relevant venues (CVPR, ICLR, ICCV, ECCV, NeurIPS, AAAI, SIGGRAPH) $19 - $65 an hour Our internship hourly rates are a standard pay determined based ...

Experience with 3D Vision * Publication record in relevant venues (CVPR, ICLR, ICCV, ECCV, NeurIPS, AAAI, SIGGRAPH) $19 - $65 an hour Our internship hourly rates are a standard pay determined based ...

ML Summer Intern

San Francisco, CA · On-site

$5.0K - $10K/mo

Our work sits at the intersection of computer vision, physical systems, and large-scale ML, with ... As an ML Intern at Pravah, you will work on real, open-ended technical problems at the frontier of ...

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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 Jun 19, 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.

Is computer vision a dead field?

Computer vision is an active and rapidly evolving field with ongoing research and industry applications, including autonomous vehicles, medical imaging, and security systems. As a computer vision intern, staying updated with new algorithms, tools like deep learning frameworks, and industry trends is essential for success in the field.

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.

Is 20 an hour good for an internship?

For a Computer Vision Intern, $20 an hour is generally considered a competitive rate, especially for entry-level positions that may require skills in programming, machine learning, and image processing. Internships often pay between minimum wage and $20 or more, depending on the company, location, and required skills. Factors such as workload, learning opportunities, and industry standards should also be considered when evaluating compensation.

What is a Computer Vision Intern job?

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.

Is ML a high paying job?

Machine Learning (ML) roles, including positions like Computer Vision Interns, tend to offer competitive salaries due to the specialized skills required, such as programming in Python and experience with frameworks like TensorFlow or PyTorch. Entry-level positions may have moderate pay, but with experience and advanced skills, salaries can increase significantly in the tech industry.

What does a computer vision intern do?

A computer vision intern assists in developing and testing algorithms that enable computers to interpret visual data, such as images and videos. They often work with machine learning models, use tools like OpenCV and Python, and gain hands-on experience in image processing, object detection, and data annotation within a team environment.

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 most commonly searched types of Computer Vision jobs in California? The most popular types of Computer Vision 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:
Infographic showing various Computer Vision Intern job openings in California as of June 2026, with employment types broken down into 50% Internship, and 50% Full Time. Highlights an 100% In-person job distribution, with an average salary of $95,651 per year, or $46 per hour.
Machine Learning Computer Vision Intern

Machine Learning Computer Vision Intern

Syntiant

Redwood City, CA • On-site

Temporary

Posted 15 days ago


Job description

Summary Description:
Syntiant Corp., a leader in the high-growth AI software and semiconductor solutions space, is looking for a Machine Learning Computer Vision Intern expand our computer vision detection capabilities through strategic framework diversification and cutting-edge algorithm exploration.
We have a robust, production-proven detection pipeline implemented in C++ that consistently delivers high-quality results in our live systems. To accelerate our research initiatives and explore next-generation detection methodologies, we're creating a parallel PyTorch-based research pipeline. This exciting initiative will enable our team to rapidly prototype and validate innovative detection approaches while maintaining our proven production standards.
PyTorch is the industry-leading framework for computer vision research and experimentation. By leveraging PyTorch's rich ecosystem and flexibility, this project will unlock opportunities to integrate state-of-the-art detection architectures and explore novel approaches that could define the future of our detection capabilities.
This internship offers the unique opportunity to work with both production-grade systems and cutting-edge research, directly shaping the future of our computer vision capabilities while gaining invaluable experience in both software engineering and AI research.
Requirements
Specific Duties and Responsibilities:
  • Architecting a PyTorch-based detection pipeline inspired by our proven C++ system.
  • Implementing and validating detection algorithms using modern deep learning frameworks.
  • Ensuring seamless integration and output consistency across platforms.
  • Experimenting with cutting-edge detection architectures (YOLO, R-CNN variants, Transformers).
  • Pioneering detection improvements and performance optimizations.
  • Contributing to our research roadmap with innovative detection methodologies.
  • Documenting breakthrough findings and technical recommendations.

Qualifications, Education, and Experience Required:
  • Candidate pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering, or related field with hands-on experience in computer vision and PyTorch.
  • Industry work experience is not required, but it would be good to have.

Benefits
About Syntiant:
Founded in 2017 and headquartered in Irvine, Calif., Syntiant Corp. is a leader in delivering hardware and software solutions for edge AI deployment. The company's purpose-built silicon and hardware-agnostic models are being deployed globally to power edge AI speech, audio, sensor and vision applications across a wide range of consumer and industrial use cases, from earbuds to automobiles. Syntiant's advanced chip solutions merge deep learning with semiconductor design to produce ultra-low-power, high performance, deep neural network processors. Syntiant also provides compute-efficient software solutions with proprietary model architectures that enable world-leading inference speed and minimized memory footprint across a broad range of processors. The company is backed by several of the world's leading strategic and financial investors including Intel Capital, Microsoft's M12, Applied Ventures, Bosch Ventures, the Amazon Alexa Fund, and Atlantic Bridge Capital. More information on the company can be found by visiting www.syntiant.com.