iSono Health · 6 years ago
Computer Vision/Deep Learning Scientist
iSono Health is looking for a computer vision scientist to join their team in developing advanced deep learning algorithms for breast cancer screening. The role involves researching and developing models for ultrasound image analysis and working collaboratively with engineers to integrate these algorithms into products.
Artificial Intelligence (AI)Health CareMedical Device
Responsibilities
Research and develop deep learning (DL) models in computer vision for lesion detection, segmentation and classification in ultrasound images
Write production quality code to deploy DL models on various compute platforms
Develop algorithms and systems for 3D ultrasound image analysis and feature extraction
Work with software & firmware engineers to integrate algorithms into a complete product
Build tools and framework for efficient image annotation and DL training pipeline
Qualification
Required
3+ years of experience
Proficiency in Python
Experience with TensorFlow
Knowledge of Machine Learning
Expertise in Computer Vision
Ability to research and develop deep learning models in computer vision for lesion detection, segmentation, and classification in ultrasound images
Ability to write production quality code to deploy deep learning models on various compute platforms
Experience in developing algorithms and systems for 3D ultrasound image analysis and feature extraction
Ability to work with software & firmware engineers to integrate algorithms into a complete product
Experience in building tools and frameworks for efficient image annotation and deep learning training pipeline
Benefits
Competitive salary and generous stock option plan
Medical, dental and vision insurance
Paid parental leave, vacation time and sick time
Opportunities to attend major scientific conferences and publish research papers
Huge company vision to make an impact on global health
Awesome office located in South San Francisco with shuttle to BART and Caltrain
Company
iSono Health
iSono Health develops an AI platform for accessible and personalized breast health monitoring
Funding
Current Stage
Early StageTotal Funding
$6.45MKey Investors
JSK InvestmentsNational Science FoundationFoothill Ventures
2025-10-13Series Unknown
2025-03-26Seed· $1.84M
2019-09-18Grant· $0.77M
Recent News
2025-10-15
Research and Markets
2025-08-19
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