GLASS Imaging
Computational Imaging Research Scientist
GLASS Imaging, San Francisco, California, United States, 94199
Computational Imaging Research Scientist
Base pay range
$150,000.00/yr - $200,000.00/yr
Additional compensation types Stock options
About the role 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.
Responsibilities
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 .
Skills & Requirements 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, inpainting).
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 .
Nice‑to‑haves
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 .
Location & Travel 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
About GLASS Imaging 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 processed; we’re revolutionizing how they’re captured, redefining the core principles of camera design and reimagining how lenses, sensors, and AI‑driven processing work together. We’re fundamentally changing how cameras operate to unlock unprecedented levels of performance and image quality.
Founded by former Apple engineers behind Portrait Mode and other groundbreaking iPhone camera features, we’re a team of passionate and experienced engineers pushing the boundaries of photography. Join us in shaping the future of camera technology!
Equal Opportunity & Diversity Statement Glass Imaging is committed to fostering a diverse and inclusive workplace. We celebrate differences and do not discriminate based on race, ethnicity, gender, sexual orientation, age, disability, veteran status, or any other protected status. We encourage individuals from all backgrounds to apply.
#J-18808-Ljbffr
Additional compensation types Stock options
About the role 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.
Responsibilities
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 .
Skills & Requirements 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, inpainting).
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 .
Nice‑to‑haves
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 .
Location & Travel 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
About GLASS Imaging 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 processed; we’re revolutionizing how they’re captured, redefining the core principles of camera design and reimagining how lenses, sensors, and AI‑driven processing work together. We’re fundamentally changing how cameras operate to unlock unprecedented levels of performance and image quality.
Founded by former Apple engineers behind Portrait Mode and other groundbreaking iPhone camera features, we’re a team of passionate and experienced engineers pushing the boundaries of photography. Join us in shaping the future of camera technology!
Equal Opportunity & Diversity Statement Glass Imaging is committed to fostering a diverse and inclusive workplace. We celebrate differences and do not discriminate based on race, ethnicity, gender, sexual orientation, age, disability, veteran status, or any other protected status. We encourage individuals from all backgrounds to apply.
#J-18808-Ljbffr