Computational Imaging Research Scientist

Computational Imaging Research Scientist Base pay range

$/yr - $/yr

• Stock options

Glass Imaging is seeking a talented Computational Imaging Research Scientist to develop state-of-the-art image and video restoration algorithms for real-world computational photography applications.

At Glass Imaging, we are revolutionizing image restoration for a wide range of cameras—from smartphones and drones to high-end professional cinema devices. Our expertise spans machine learning, image processing, and computational imaging
, allowing us to build cutting‑edge solutions for tasks such as demosaicing, denoising, deblurring, aberration correction, super‑resolution, and more
. Our goal is to push the boundaries of image quality, and we’re looking for passionate researchers to join us in this mission.

In this role, you will have the opportunity to design innovative image restoration algorithms
, enhance existing solutions, and bring breakthrough image processing and computer vision technologies into real‑world applications. You will work on training efficient machine learning models to solve inverse imaging problems, optimizing them for deployment on embedded devices and smartphones. Join our dynamic and forward‑thinking team to shape the future of camera technology.

• Develop high‑performance, efficient algorithms for image restoration tasks such as demosaicing, denoising, deblurring, deconvolution, and super‑resolution.
• Identify and implement solutions to enhance overall image quality
  .
• Incorporate cutting‑edge machine learning techniques into computational imaging problems.
• Lead research and development projects to drive innovation in computational imaging.
• Collaborate with hardware engineers and software developers to deploy algorithms efficiently to embedded systems.
• Develop tools and pipelines for improved data preprocessing, model training, and evaluation
  .

What makes you a good fit:

• Hands‑on experience with the entire deep learning pipeline
  , including data collection/preparation, model tuning, training, and evaluation, using platforms such as PyTorch.
• Expertise in computational imaging
  , covering topics such as optics, color science, image quality, and inverse imaging (e.g., super‑resolution, deconvolution, in painting).
• Strong foundation in mathematics
  , including statistics, linear algebra, optimization, and signal processing.
• Knowledge of image processing and computer vision techniques such as bilateral filtering, feature matching, and depth estimation.
• Proficiency in Python programming.
• Ability to stay at the forefront of machine learning and computational imaging research
  .
• Published research in top‑tier technical venues (CVPR, ICCV, TPAMI, SIGGRAPH, etc.).
• 3+ years of relevant industry experience or a MSc/PhD in a related technical field
  .

• Previous experience developing image signal processing (ISP) technologies
  , including key modules such as demosaicing, white balance, noise reduction, tone mapping, and color correction.
• Experience in end‑to‑end camera calibration and characterization workflows to optimize image quality across various imaging conditions.
• Expertise in efficient machine learning techniques such as model quantization, pruning, and compression.
• Knowledge of GPU and parallel computing frameworks (OpenCL, CUDA, etc.).
• Experience in Android or iOS development
  .
• Experience deploying algorithms to Qualcomm Snapdragon chips
  .

We are primarily hiring for positions in our San Mateo, CA office (primarily in‑person) but may consider other arrangements for outstanding circumstances.

• Competitive pay
• Stock options
• 401(k)
• Company Paid Public Transportation via the Cal Train Go Pass

Our mission is to bring professional‑level image quality to everyone by making cutting‑edge image processing accessible to all devices—from smartphones and XR devices to infrastructure maintenance and security applications. We believe that AI‑driven processing can extract every ounce of image quality from any camera, making capturing better pictures with any camera easier for everyone.

But we aren’t just enhancing how images are…