Company Overview
Heartflow is a medical technology company advancing the diagnosis and management of coronary artery disease, the #1 cause of death worldwide, using cutting-edge technology. The flagship product - an AI-driven, non-invasive cardiac test supported by the ACC/AHA Chest Pain Guidelines called the Heartflow FFRCT Analysis - provides a color-coded, 3D model of a patient's coronary arteries indicating the impact blockages have on blood flow to the heart. Heartflow is the first AI-driven non-invasive integrated heart care solution across the CCTA pathway that helps clinicians identify stenoses in the coronary arteries (RoadMap™ Analysis), assess coronary blood flow (FFRCT Analysis), and characterize and quantify coronary atherosclerosis (Plaque Analysis). Their pipeline of products is growing and so is their team, helping to revolutionize precision heartcare.
Heartflow is publicly traded (HTFL), internationally recognized for healthcare innovation, supported by medical societies worldwide, cleared for use in the US, UK, Europe, Japan, and Canada, and used for more than 400,000 patients globally.
Job Description
Join the world-class Research team developing state-of-the-art automated machine learning technologies behind Heartflow's products including RoadMap, FFRCT Analysis, and Plaque Analysis used to help over 400,000 patients so far. Lead the development and evaluation of machine learning and medical image analysis problems focusing on deep learning computer vision models trained on large datasets of 3D medical image data. Work closely with research and software development teams to develop new algorithms.
- Solve scientific and technical challenges related to machine learning (deep learning) with large volumetric image datasets.
- Implement and advance research from computer vision/machine learning literature to solve meaningful problems.
- Take intellectual ownership and lead research, design, development, and testing of machine learning and image analysis algorithms.
- Collaborate with cross-functional teams including Engineering, Clinical, Regulatory, Product, and Program Management to deploy product-grade ML models.
- Educate people across groups and departments on ML and Image Analysis topics.
- Publish cutting-edge research and stay updated on research trends.
Required Skills
- Ability to independently identify project research requirements and design solutions.
- Ability to clearly communicate complex ideas tailored to diverse audiences.
- Strong understanding and experience in machine learning, deep learning, generative modeling, computer vision, and/or medical image analysis.
- Experience working on large-scale complex and/or scientific applications.
- Proficient in Python with PyTorch experience, preferably also C++.
Desirable Skills
- Training deep learning models at scale on the cloud.
- Developing deep learning models for FDA-regulated SaMD products.
- Experience building deep learning models for 3D computed tomography data.
Educational Requirements & Work Experience
- PhD degree in computer science, engineering, math, or similar technical field.
- 1+ years of related experience in Machine Learning, Computer Vision, Image Analysis, Deep Learning, or related field in academia and/or industry.
Compensation
An estimated base salary range is $150,000 to $200,000 for the San Francisco Bay Area, plus cash bonus, and equity.
Equal Opportunity Employer
Heartflow is committed to a work environment that supports, inspires, and respects all individuals and does not discriminate against any employee or applicant due to race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or other protected statuses under federal, state, or local law. This applies to all aspects of employment including recruitment, hiring, training, relocation, promotion, and termination.
Positions posted are not open to third party recruiters/agencies. Unsolicited resumes will be considered free referrals.
Beware of fraud posing as Heartflow recruiters; legitimate recruiters have emails ending in @heartflow.com and positions are listed on www.heartflow.com/about/careers/.
How to Apply
Please apply through the official job posting platform where the job is listed. Look for the 'Apply' button on the job page to submit your application.