Computer Vision Research Intern information
See Philadelphia, PA salary details
$4.5K is the 25th percentile. Wages below this are outliers.
$4.2K - $4.7K
3% of jobs
The median wage is $7.5K / yr.
$7.3K - $7.9K
72% of jobs
How much do computer vision research intern jobs pay per month?
As of Aug 18, 2026, the average monthly pay for computer vision research intern in Philadelphia, PA is $6,498.00, according to ZipRecruiter salary data. Most workers in this role earn between $4,458.33 and $7,733.33 per month, depending on experience, location, and employer.
A Computer Vision Research Intern assists in developing and testing algorithms that enable computers to interpret and understand visual information from the world, such as images and videos. They often work on tasks like image classification, object detection, and facial recognition, supporting senior researchers in implementing and optimizing machine learning models. Interns may also be involved in collecting datasets, analyzing experiment results, and preparing research documentation. This role is ideal for students or recent graduates with a strong interest in artificial intelligence, programming, and visual data analysis.
To thrive as a Computer Vision Research Intern, you need a solid background in computer science, mathematics, and machine learning fundamentals, often demonstrated by relevant coursework or a degree in a related field. Familiarity with programming languages such as Python or C++, experience with deep learning frameworks (e.g., TensorFlow, PyTorch), and proficiency in using computer vision libraries like OpenCV are typically required. Strong analytical thinking, creativity, and effective communication skills help you solve complex problems and present research findings clearly. These skills and qualities are essential for developing innovative solutions and contributing meaningfully to research projects in a fast-evolving field.
As a Computer Vision Research Intern, you will typically work on projects involving image recognition, object detection, or video analysis, often using deep learning frameworks like TensorFlow or PyTorch. Interns usually collaborate closely with senior researchers and software engineers, contributing to model development, data annotation, and experimental analysis. You may participate in regular team meetings, present your findings, and integrate your work into larger research initiatives. This environment provides exposure to cutting-edge technologies and valuable mentorship, laying a strong foundation for future advancement in AI research.
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