Senior Computational Imaging Scientist — Image Restoration & ML

GLASS Imaging; San Francisco (CA); On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

Stock options

401(k)

Company Paid Public Transportation

Job summary

A cutting-edge imaging technology company is seeking a Computational Imaging Research Scientist in San Francisco. In this role, you'll develop state-of-the-art image and video restoration algorithms, work on optimizing machine learning models, and collaborate with engineers to advance camera technology. Candidates should have a strong foundation in mathematics, experience in computational imaging, and a master’s or doctorate in a relevant field.

Qualifications

• Experience in data collection/preparation, model tuning, training, and evaluation.
• Knowledge of optics, color science, image quality, and inverse imaging techniques.
• Familiarity with bilateral filtering, feature matching, and depth estimation.

Responsibilities

• Develop high-performance algorithms for image restoration tasks.
• Identify solutions to enhance overall image quality.
• Incorporate machine learning techniques into computational imaging.
• Lead research and development projects.
• Collaborate with engineers to deploy algorithms effectively.
• Develop tools for improved data processing and model training.

Skills

Deep learning pipeline experience

Expertise in computational imaging

Strong foundation in mathematics

Knowledge of image processing techniques

Proficiency in Python programming

Ability to stay updated in machine learning

Published research in technical venues

3+ years industry experience or MSc/PhD

Education

MSc/PhD in a related technical field

Tools

PyTorch

OpenCL

CUDA

Job description

A cutting-edge imaging technology company is seeking a Computational Imaging Research Scientist in San Francisco. In this role, you'll develop state-of-the-art image and video restoration algorithms, work on optimizing machine learning models, and collaborate with engineers to advance camera technology. Candidates should have a strong foundation in mathematics, experience in computational imaging, and a master’s or doctorate in a relevant field.