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Computer Vision/Deep Learning Scientist

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Hybrid (South San Francisco, CA)Full-timePosted 11mo ago

About the role

AI-powered platform for accessible and personalized breast health. Role focuses on developing state-of-the-art deep learning algorithms for 3D ultrasound image analysis to enable early breast cancer detection.

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

Qualifications

  • 3+ years of experience
  • Experience with Python, TensorFlow, Machine Learning, Computer Vision

Skills

Required:PythonTensorFlowMachine LearningComputer Vision

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
Last updated Oct 7, 2026. Interested? Apply on the company site.
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About iSono Health

AI-powered platform for Accessible and Personalized Breast Health…

The iSono Health platform combines automated 3D ultrasound technology with cloud computation and artificial intelligence to empower women and their physicians with early detection and monitoring of breast cancer. Our patented compact ultrasound scanner captures 3D images through automatic scanning of whole breast volume in 1 min. The device connects to a smartphone/tablet/laptop and is controlled by our mobile app. The data is transferred to a secure cloud for image processing and storage. Our machine learning algorithm uses acoustic biomarkers to identify abnormal masses. Our platform’s automated operation and software expands ultrasound use in point-of-care diagnostics as well as monitoring of breast health at home, walk-in and mobile clinics. iSono Health offers women and healthcare providers : Safety: No Radiation Actionable Feedback with AI Fast: 2min Scan Easy to Use

artificial-intelligenceconsumer-health-servicesmedical-devices

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