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Computational Photography Jobs (NOW HIRING)

Rylo Inc.

Algorithm Engineer

San Francisco, CA · On-site

In this role, you will work on core algorithms to improve photography and cinematography experiences, including designing and implementing computational photography algorithms and collaborating with ...

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 ...

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$11K

$56.4K

$78K

How much do computational photography jobs pay per year?

As of May 30, 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 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.

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 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.
More about Computational Photography jobs
What are the most commonly searched types of Computational Photography jobs? The most popular types of Computational Photography jobs are:
What states have the most Computational Photography jobs? States with the most job openings for Computational Photography jobs include:
What job categories do people searching Computational Photography jobs look for? The top searched job categories for Computational Photography jobs are:
Computational Photography jobs near you
Infographic showing various Computational Photography job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 73% Full Time, 20% Part Time, 1% Temporary, and 5% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $56,375 per year, or $27.1 per hour.
Software Engineer, Computational Photography

Software Engineer, Computational Photography

Rylo

San Francisco, CA • On-site

Full-time

Medical, Dental, Vision

Posted 13 days ago

Job description

Rylo is a powerful camera that captures everything around you and creates exceptionally smooth, beautiful video that's easy to share. Developed by a team of former Instagram and Apple engineers, Rylo's breakthrough stabilization software and smartphone app eliminate the traditional pain points of shooting, editing, and sharing videos. With Rylo, you don't have to worry about framing your shot or holding the camera steady to capture a video you're proud to share - simply hit record and make the perfect video after-the-fact.

See Rylo in action

In this role, you will work on core algorithms for the Rylo camera and future products to fundamentally improve the photography and cinematography experience. This covers both the improvements of the image quality and creating new computational photography features. You will develop end-to-end solutions, including algorithm design, implementation, quality evaluation, performance optimization to final deployment.

You will work closely with software engineers, hardware engineers, and designers to push the boundaries and capabilities of consumer cameras.
What you'll work on:
  • Design and implement novel computational photography algorithms.
  • Work closely with the hardware team to design new camera products.
  • Transfer technology to product groups and see your ideas shipped in product.
Who we're looking for:
  • Masters degree and 4 years of experience, or PhD in EE/CS.
  • Excellent knowledge of theory and practice of image processing, computer vision, computational photography.
  • You should be fluent in C / C++ programming and in a rapid prototyping environment such as MATLAB.
  • Parallel programming skills (e.g., CUDA, Halide, OpenCL, Metal) are a strong plus.
  • Strong communication skills required.
Why Rylo:
  • We're backed by Accel, Sequoia and Icon Ventures
  • You'll work with and learn from a highly cross-functional engineering team. Spanning software across the full stack: backend, frontend, iOS, Android, desktop, and embedded systems.
  • Just a year and a half after founding Rylo, we shipped our first camera on time and with a team of only 18. We love what we do and work hard to do it. 
  • Since launching in November 2017, we've expanded distribution to some of the top retailers, such as Amazon and Best Buy.
  • We value: ownership, a thoughtful approach to problem solving, transparency, candor, and a willingness to learn and teach.
  • You'll help us build the future of cameras so that anyone can easily capture, edit, and share their favorite memories with the world. 
Benefits and perks:
  • Your very own Rylo camera on your first day! 
  • Join our team lunches, happy hours, and off-sites
  • Meaningful equity
  • Flexible work schedule
  • Medical, dental, and vision insurance
  • Easy access to snacks and drinks
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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