Computer Vision/Deep Learning Scientist

Remote
Full-time
Visa Sponsorship

About the role

Come join us to build an AI platform for accessible and personalized breast cancer screening to empower women with early detection of breast cancer.

iSono Health is looking for a computer vision scientist to join as a key member of our small and growing team to develop state-of-the-art deep learning algorithms in computer vision for classification, localization, and segmentation on 3D ultrasound images produced by our novel wearable ultrasound scanner technology.

If you are bright, motivated, interested in cutting-edge healthcare technology and want to make an impact on the lives of millions of women around the world, iSono Health is a place for you.

What you do?

  • 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

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;

About iSono Health

AI-powered platform for Accessible and Personalized Breast Health Monitoring

Required skills

Python
TensorFlow
Machine Learning
Computer Vision

Other roles at iSono Health

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Job details

Location

Remote

Experience

3+ years

Company

NameiSono Health
IndustryMedical Devices
Team Size9

Funding

Total raised

$14.7M

Last stage

Seed

Investors

Y Combinator

Founders

Maryam Ziaei-Moayyed

Maryam Ziaei-Moayyed

Co-Founder & CEO

LinkedIn
Shadi Saberi

Shadi Saberi

Co-Founder & CTO

LinkedIn

What happens next.

No applications, no recruiter spam. Just the intro.

01

Confirm the fit

A few questions to make sure this role is the right shape for you. Two minutes.

02

I pitch you to the company

I write the intro, send it to the founder, and handle the back-and-forth.

03

A meeting lands on your calendar

If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.