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Computational Imaging Intern information

What types of projects can a Computational Imaging Intern expect to work on during their internship?

As a Computational Imaging Intern, you will typically be involved in projects that merge computer vision, image processing, and machine learning to solve real-world imaging challenges. These may include developing algorithms for image enhancement, working with large datasets to improve object detection, or assisting in the prototyping of imaging pipelines for new hardware. You'll often collaborate closely with research scientists, software engineers, and hardware teams, gaining hands-on experience with both experimental and production-level imaging systems. This role offers an excellent opportunity to contribute to innovative projects while building valuable technical and teamwork skills.

What does a Computational Imaging Intern do?

A Computational Imaging Intern works on developing and improving imaging systems using both hardware and software techniques. Their tasks often involve designing algorithms to process and enhance images, working with simulations, and collaborating with engineers or researchers to solve problems related to image acquisition and analysis. Interns may contribute to projects in fields like computer vision, medical imaging, or photography, gaining hands-on experience with advanced imaging technologies. They also analyze data, test prototypes, and help develop new imaging applications.

What is the difference between Computational Imaging Intern vs Computer Vision Intern?

AspectComputational Imaging InternComputer Vision Intern
Required CredentialsTypically pursuing or holding a degree in computer science, electrical engineering, or related fieldsSimilar educational background, often with focus on AI, machine learning, or image processing
Work EnvironmentResearch labs, tech companies, or academic settings focusing on imaging technologiesTech companies, research institutions working on AI, robotics, or visual data analysis
Industry UsageCommon in imaging hardware, medical imaging, and computational photography sectorsPrevalent in autonomous vehicles, surveillance, and multimedia industries

Both roles involve working with visual data and require strong programming skills, but Computational Imaging Interns focus more on developing imaging algorithms and hardware integration, while Computer Vision Interns concentrate on analyzing and interpreting visual data using AI techniques.

What are the key skills and qualifications needed to thrive as a Computational Imaging Intern, and why are they important?

A strong background in mathematics, image processing, computer vision, and programming (often with Python, MATLAB, or C++) is essential for a Computational Imaging Intern, usually supported by progress toward a relevant degree such as Electrical Engineering or Computer Science. Familiarity with tools like OpenCV, TensorFlow, or PyTorch, and experience with simulation or imaging systems, are commonly required. Critical thinking, problem-solving, and effective communication help interns tackle complex imaging challenges and collaborate with multidisciplinary teams. These capabilities are vital for developing innovative imaging solutions and advancing research or product development in the field.
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Computational Imaging Intern jobs near you
Infographic showing various Computational Imaging Intern job openings in the United States as of June 2026, with employment types broken down into 67% Internship, and 33% Full Time. Highlights an 100% In-person job distribution.
Research Scientist Intern, Applied Vision and Image Quality (PhD)

Research Scientist Intern, Applied Vision and Image Quality (PhD)

Meta

Redmond, WA

$7.6K - $12K/mo

Full-time, Internship

Posted 19 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

123rd of 191 rated software companies

Job description

The Applied Perception Science (APS) team at Meta Reality Labs is seeking a research scientist intern to join our vision science program, focusing on evaluating image quality in augmented reality (AR) displays. This role will help pioneer foundational research into how quality is perceived in see-through displays with novel architectures, addressing critical gaps in existing perceptual science and enabling display technologies in next-generation AR devices.You will work alongside a highly interdisciplinary team of display, electrical sensor and software engineers and scientists with backgrounds in optics, graphics and machine and human perception. The ideal candidate will have a passion for the intersection of display, optical, and system engineering and computer and human visionOur internships are sixteen (16) to twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, Applied Vision and Image Quality (PhD) Responsibilities:
  • Work on topics in perception and imaging science (image and text quality, quality metrics, perceptual metrology, etc.) to support research in AR head-mounted display technologies
  • Conceive and develop simulations of AR devices to help guide emerging AR display technologies
  • Design and conduct psychophysical experiments to quantify artifact visibility and image quality in AR displays
  • Conduct psychophysical user studies on both benchtop testbeds and head-mounted prototypes to help guide emerging AR display technologies
  • Collaborate and communicate with scientists and engineers across a variety of disciplines to design vision science studies in an applied context

Minimum Qualifications:
  • In the process of obtaining a PhD degree in Vision Science, Computer Graphics, or related field
  • Experience designing, conducting, and analyzing the results of psychophysical experiments related to visual perception, computer graphics, and/or display systems
  • Experience with scientific programming languages (e.g., Python and Matlab) including their use to script psychophysical experiments
  • Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment

Preferred Qualifications:
  • Familiarity with imaging science, optical engineering or computational imaging, with a strong publication record in top venues
  • Demonstrated expertise in psychophysics or vision science and experience designing and running human subject experiments
  • Experience with Unity/C#, Python/Psychopy, or MATLAB, particularly for the development of psychophysical experiments
  • Experience working with benchtop stereoscopic displays, head-mounted displays, or other hardware to study the visual system
  • Experience working and communicating cross functionally in a team environment
  • Intent to return to degree-program after the completion of the internship

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$7,650/month to $12,134/month + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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