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). Our pipeline of products is growing and so is our team; join us in helping to revolutionize precision heartcare.
Heartflow is a publicly traded company (HTFL) that has received international recognition for exceptional strides in healthcare innovation, is supported by medical societies around the world, cleared for use in the US, UK, Europe, Japan and Canada, and has been used for more than 400,000 patients worldwide.
Join our world-class Research team in the development of state-of-the-art automated machine learning technologies behind Heartflow’s products, including RoadMap, FFRCT Analysis, and Plaque Analysis used to help 400,000+ patients so far. Lead the development and evaluation of problems in Machine Learning and Medical Image Analysis, with a focus on deep learning computer vision models trained on large datasets of 3D medical image data. Work closely with the research and software development teams to develop new algorithms.
Job Description:
- Solving cutting-edge scientific and technical challenges related to doing machine learning (deep learning) with a large amount of volumetric images.
- Implement and advance on the latest research from the computer vision/machine learning literature to solve meaningful problems.
- Intellectual ownership and specific lead responsibility related to research, design, development and testing of Machine Learning and Image Analysis algorithms.
- Work closely 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 keep up-to-date on latest research trends.
Skills Needed:
- Ability to independently identify project research requirements and design solutions.
- Ability to clearly communicate complex ideas, tailoring content for diverse audiences
- Strong understanding and proven track-record 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, and 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:
- A PhD degree in computer science, engineering, math or similar technical field.
- 1+ years related experience in Machine Learning, Computer Vision, Image Analysis, Deep Learning or related field in academia and/or industry.
A reasonable estimate of the base salary compensation range is $150,000 to $200,000 (for San Francisco Bay Area), cash bonus, and equity. #LI-IB1 #LI-Hybrid
Top Skills
Similar Jobs
.jpeg)
.png)
What you need to know about the Los Angeles Tech Scene
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
