Software Engineer

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. 

What You’ll Do

The ideal candidate is passionate about using first-principles thinking to navigate challenging problems in data systems & ML infrastructure. You will:

• 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.

Who We’re Looking For

• 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.

How You Stand Out

• Experience with image-based data and algorithms (e.g. convolutional neural networks, image processing techniques).
• Experience with orchestration frameworks (Dagster, AWS StepFunctions, T emporal.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.

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. #LI-IB1; #LI-Hybrid;