Internship Computational Photography information
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$11.06 - $12.26
14% of jobs
$12.72 is the 25th percentile. Wages below this are outliers.
$12.26 - $13.46
12% of jobs
$13.46 - $14.66
15% of jobs
The median wage is $14.84 / hr.
$14.66 - $15.87
18% of jobs
$17.03 is the 75th percentile. Wages above this are outliers.
$15.87 - $17.07
10% of jobs
$17.07 - $18.27
6% of jobs
$18.27 - $19.47
8% of jobs
$19.47 - $20.67
5% of jobs
$20.67 - $21.87
5% of jobs
How much do internship computational photography jobs pay per hour?
As of Aug 23, 2026, the average hourly pay for internship computational photography in the United States is $15.54, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $17.55 per hour, depending on experience, location, and employer.
An Internship in Computational Photography typically involves working on projects that combine computer science, mathematics, and photography to develop new imaging techniques and software. Interns may assist with tasks such as algorithm development, image processing, machine learning, and camera hardware integration. The role provides hands-on experience in the field, exposure to advanced imaging technologies, and opportunities to collaborate with experienced engineers and researchers. Such internships are valuable for students interested in applying technical skills to innovative visual media solutions.
As an intern in Computational Photography, you'll typically work on projects involving image processing, computer vision, and machine learning. You may collaborate with engineers and researchers to develop new algorithms for tasks like image enhancement, 3D reconstruction, or object detection. Expect to use programming languages such as Python or C++, and frameworks like OpenCV or TensorFlow. The work is often team-oriented, with regular opportunities to contribute to meetings and present your findings. This hands-on experience allows you to build both technical and collaborative skills relevant to the field.
To thrive as an intern in Computational Photography, you need a solid background in computer science, mathematics, and image processing, typically supported by coursework or relevant project experience. Familiarity with programming languages like Python or C++, and experience with tools such as OpenCV, MATLAB, or TensorFlow are highly valuable. Strong problem-solving abilities, creativity, and effective collaboration skills help interns contribute meaningfully to research and development teams. These competencies enable interns to innovate and support the advancement of imaging technologies in dynamic technical environments.
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