About the position
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. We seek a highly motivated and dynamic Software Engineer who is passionate about building and deploying scalable ML systems. You will work closely with our experienced researchers and engineers to develop and deploy ML algorithms that power our AI-driven platform. You will gain hands-on experience with the latest technologies in machine learning and cloud computing, contributing to projects that impact our products and services, and ultimately, move the needle on heart disease.
Responsibilities
- Partner cross-functionally with Research/Engineering/Clinical to develop and productize ML algorithms in the medical imaging space.
- Develop robust cloud-based ML algorithm training and evaluation pipelines.
- Package, deploy, and monitor ML algorithms in a Production environment.
- Define and implement software and ML algorithm validation strategies.
Requirements
- Bachelor's/Master’s degree in Computer Science, Engineering, or a related field.
- 2+ years of relevant job experience.
- Strong foundation in software engineering principles and practices, with proficiency in at least one programming language (e.g. Python, C++).
- Deep understanding of convolutional neural networks and image processing techniques.
- Expertise in building, deploying, and monitoring ML algorithms in Production environments.
- Competency with at least one cloud provider (e.g. AWS, GCP, Azure).
- Excellent communication and interpersonal skills, with the ability to communicate to both technical and non-technical audiences.
Nice-to-haves
- Experience with distributed computing frameworks (e.g. Ray/Spark/Dask).
- Experience with data warehouses (e.g. Redshift / Snowflake / Databricks).
- Experience with infrastructure as code (CDK, Terraform).
- Prior experience working in a healthcare-domain or highly-regulated environment.
- A keen interest in staying up-to-date with the latest trends and advancements in machine learning, artificial intelligence, and distributed computing.
- Blog (or other media) communicating the candidate’s data science or engineering projects, ideas, or first-principles thinking.
Benefits
- A reasonable estimate of the base salary compensation range for the San Francisco Bay Area is $130,000 to $220,000, cash bonus, and equity.
