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Computational Photography Jobs (NOW HIRING)

Adobe

Researcher/ML Engineer

San Jose, CA

Finally, in June 2025 we launched Project Indigo, an experimental camera app for iPhone that combines computational photography and AI, and that deliberately explores the boundaries of what is ...

Adobe, Inc.

Researcher/ML Engineer

San Jose, CA · On-site

Finally, in June 2025 we launched Project Indigo, an experimental camera app for iPhone that combines computational photography and AI, and that deliberately explores the boundaries of what is ...

Adobe

iOS App Development Engineer

San Jose, CA

$60.75 - $83.50/hr

As part of our portfolio, we recently launched Project Indigo, an experimental camera app for iPhone that combines computational photography and AI, and that deliberately explores the boundaries of ...

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Computational Photography information

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$11K

$56.4K

$78K

How much do computational photography jobs pay per year?

As of Jun 25, 2026, the average yearly pay for computational photography in the United States is $56,375.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,000.00 and $70,000.00 per year, depending on experience, location, and employer.

What is computational photography?

Computational photography is a field within imaging and photography that uses algorithms and software to enhance or extend the capabilities of traditional cameras. It involves techniques such as image stitching, HDR imaging, and depth mapping, often requiring skills in programming, image processing, and familiarity with tools like MATLAB or OpenCV. Professionals in this area develop systems to improve image quality, enable new visual effects, or automate complex photography tasks.

What is a Computational Photography job?

A Computational Photography job involves using algorithms and software to enhance or extend photography beyond traditional camera capabilities. Professionals in this field work on image processing, computational imaging, and machine learning to improve image quality, automate enhancements, or create new visual effects. They often collaborate with engineers and researchers to develop imaging technologies for smartphones, cameras, and computer vision applications. Skills in programming, computer vision, and signal processing are commonly required.

Which type of photographer makes the most money?

In the field of photography, commercial photographers, including those working in advertising, fashion, and product photography, tend to earn the highest salaries. They often work with clients on high-budget projects and may require advanced skills, professional equipment, and a strong portfolio to command top pay.

What are the typical responsibilities of a computational photography professional on a day-to-day basis?

Computational photography professionals spend much of their time developing and testing algorithms that enhance or manipulate digital images, such as denoising, HDR, or depth mapping techniques. They often collaborate closely with hardware engineers, product designers, and other software developers to integrate their work into cameras, smartphones, or imaging applications. Regular tasks may include analyzing large datasets, optimizing code for real-time performance, and publishing or presenting research findings. This multidisciplinary environment means you'll frequently participate in team meetings, contribute to cross-functional projects, and stay up to date with the latest developments in imaging technology.

Is AI replacing photographers?

Computational photography professionals use AI tools to enhance image quality, automate editing, and develop new imaging techniques. While AI automates certain tasks, skilled photographers are still essential for creative vision, composition, and client interaction, making AI a complement rather than a replacement in the field.

What are the key skills and qualifications needed to thrive in the Computational Photography position, and why are they important?

To thrive in computational photography, you need a robust background in computer vision, algorithm development, and image processing, typically with an advanced degree in computer science, electrical engineering, or a related field. Familiarity with programming languages such as Python or C++, frameworks like OpenCV, and experience with machine learning libraries are highly valuable. Strong problem-solving skills, creativity, and collaboration abilities set exceptional candidates apart. These competencies are crucial because the role bridges technical innovation and practical application, driving advancements in digital imaging technologies.

What is the highest paying job in photography?

In the field of computational photography, high-paying roles include senior research scientists, imaging software engineers, and product managers at major technology companies, often requiring advanced degrees and specialized skills. These positions typically offer six-figure salaries, especially with experience and expertise in machine learning, computer vision, and image processing tools.
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What are the most commonly searched types of Computational Photography jobs? The most popular types of Computational Photography jobs are:
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Computational Photography jobs near you
Infographic showing various Computational Photography job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, 68% Full Time, 27% Part Time, 1% Temporary, and 2% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $56,375 per year, or $27.1 per hour.
Computational Photography/Computer Vision Machine Learning Engineer, Camera & Photos

Computational Photography/Computer Vision Machine Learning Engineer, Camera & Photos

Apple

Cupertino, CA • On-site

$137K - $162K/yr

Full-time

Posted 8 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 662 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

In the Camera Imaging Algorithms team in the Camera & Photos organization, we are looking for passionate, self-driven computational photography/computer vision machine learning engineers who enjoy both innovating down to the details and collaborating with broader cross-functional teams to bring exciting new imaging technology to our Apple products. We have worked on many core algorithms in the Apple camera imaging pipeline like Deep Fusion, Photonic Engine, SmartHDR, and Panorama. In this role, you will research and develop novel machine learning techniques for various image restoration and image fusion applications and contribute to shipping the most popular camera in the world.
Description
As a machine learning engineer on our team, you will contribute to algorithm design and implementation. You will develop and train deep learning models and collaborate with cross-functional teams like camera hardware, firmware, GPU, and image quality teams to bring your innovative ideas to product. We are seeking a creative and inquisitive engineer who can leverage their knowledge of classical computer vision and computational photography techniques to build deep learning models that help us design the next generation Apple camera imaging pipeline.
Minimum Qualifications
Strong coding skills in Python; experience in C/C++ a big plus
Demonstrated ability in developing machine learning algorithms for computational photography/computer vision and image processing problems
Extensive knowledge in camera processing pipeline, classical computer vision, and classical computational photography techniques
Experience with deep learning techniques for image restoration and image fusion applications (denoising/demosaicing/super-resolution), and experience with deep learning frameworks like PyTorch or TensorFlow
MS/PhD in Computer Vision, Machine Learning, Computer Science, Electrical Engineering or related fields
Preferred Qualifications
Excellent verbal and written communication skills
Creativity and curiosity for solving complex problems.

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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