Computational Imaging Machine Learning Engineer jobs in United States
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GLASS Imaging · 3 weeks ago

Computational Imaging Machine Learning Engineer

positionSan Francisco Bay Area
timeFull-time
remoteOnsite
seniorityMid Level
money$140K/yr - $180K/yr

GLASS Imaging is a company focused on revolutionizing image restoration for various cameras. They are seeking a Computational Imaging Machine Learning Engineer to implement and optimize machine learning algorithms for image restoration tasks.

Consumer ElectronicsConsumer GoodsFast-Moving Consumer GoodsPhotography
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H1B Sponsorednote

Responsibilities

Implement, run, and monitor machine learning experiments for image restoration tasks (denoising, deblurring, super-resolution, etc.)
Process, clean, and prepare large-scale imaging datasets for training and evaluation
Translate research ideas and algorithmic designs into high-quality code
Build and maintain tools, scripts, and infrastructure to streamline training, tuning, and evaluation pipelines
Compare models systematically, run benchmarks, and generate clear experiment reports
Debug training runs and improve reliability and reproducibility across experiments
Collaborate with research scientists, contributing ideas and improvements to algorithmic approaches

Qualification

Machine learning pipelineImage restorationPythonDeep learning frameworksSoftware engineering fundamentalsAlgorithmic designIndependent workCollaborationProblem-solving

Required

Hands-on experience with the entire machine learning pipeline, including data collection/preparation, model tuning, training, and evaluation
Experience with image restoration, computational imaging, or computer vision
Proficiency with Python and deep learning frameworks (e.g. Pytorch, TensorFlow, etc.)
Strong software engineering fundamentals: clean code, testing, debugging, and version control
Familiarity with working on digital images
Ability to work independently, manage experiments, and deliver results efficiently
A degree in Computer Science, Electrical Engineering, Applied Mathematics, or a related field, or equivalent practical experience

Preferred

Knowledge of MLOps tools (experiment tracking, dataset versioning, job schedulers, etc.)
Experience training models on multi-GPU servers or cloud infrastructure
Familiarity with optimization techniques for efficient ML (quantization, pruning, compression)
Exposure to Android or iOS development, or deployment on embedded platforms

Benefits

Competitive pay
Stock options
Health/Dental/Vision Insurance
401(k)
Company Paid Cal-Train Go Pass

Company

GLASS Imaging

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Revolutionary photography technology
dateFounded in 2019
location
Los Altos, California, USA
people-size11-50 employees
web-link
http://glass-imaging.com

H1B Sponsorship

GLASS Imaging has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3)
2024 (2)
2023 (1)

Funding

Current Stage
Early Stage
Total Funding
$31.5M
Key Investors
Insight PartnersGoogle VenturesLDV Capital
2025-05-12Series A· $20M
2024-02-08Seed· $9.3M
2022-03-22Seed· $2.2M

Leadership Team

Z
Ziv Attar
CEO and Founder
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T
Tom Bishop
Co-Founder and Chief Technology Officer
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Recent News

Pulse 2.0
Glass Imaging: $20 Million Raised For Expanding AI Imaging
2025-05-17
PR Newswire
Glass Imaging Raises $20 Million Funding Round To Expand AI Imaging Technologies
2025-05-14
Google Patent
Imaging system with variable aperture
2025-05-04
Company data provided by crunchbase