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 supporting ML algorithm development through data systems and MLOps. You will work closely with our experienced engineers and researchers to design, build, and maintain the infrastructure and tools necessary for rapid ML development, deployment, and monitoring. You will gain hands-on experience with the latest technologies in data systems, MLOps and cloud computing, contributing to projects that impact our products and services, and ultimately, move the needle on heart disease.
Responsibilities
- Develop robust ETL (Extract, Transform, Load) processes to integrate data from diverse sources into our data ecosystem.
- Design and maintain scalable data pipelines that provide our teams with high-quality, training-ready datasets.
- Implement and manage tools to track and document data lineage, from source to consumption.
- Empower consumers of data products through detailed documentation.
- Develop and maintain a large-scale distributed computing platform for ML algorithm training and evaluation.
- Develop and maintain a standardized approach to ML algorithm experiment tracking using tools like MLFlow.
- Work cross-functionally with Researchers and Engineers to understand their needs for ML algorithm training and production monitoring.
Requirements
- Bachelor's/Master’s degree in Computer Science, Engineering, or a related field.
- 2+ years of relevant job experience in Software Engineering with hands-on experience with cloud-based distributed data systems.
- Strong foundation in software engineering principles and practices, with proficiency in Python and SQL.
- Deep understanding of modern distributed data cloud architectures for structured and unstructured data.
- Experience with distributed computing frameworks (e.g. Ray/Spark/Dask) and supporting infrastructure (e.g. Hadoop, Docker, Kubernetes).
- Competency with at least one cloud provider (e.g. AWS, GCP, Azure).
- Experience with infrastructure as code (CDK, Terraform).
- Experience constructing and maintaining data products for technical stakeholders.
- Excellent communication and interpersonal skills, with the ability to communicate to both technical and non-technical audiences.
Nice-to-haves
- Experience with image-based data and algorithms (e.g. convolutional neural networks, image processing techniques).
- Experience with orchestration frameworks (Dagster, AWS StepFunctions, Temporal.io).
- Experience with ML model deployment.
- Experience with data visualization/dashboarding tools like Tableau.
- 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 data architecture and distributed computing.
- Blog (or other media) communicating the candidate’s data science or engineering projects, ideas, or first-principles thinking.
Benefits
- Base salary compensation range for the San Francisco Bay Area is $130,000 to $220,000, cash bonus, and equity.
