We’re an early-stage startup that’s building a health AI platform to help clinicians make better use of real-time data to reduce preventable complications and save patient lives.
In Short
We’re looking for a software engineer with breadth of experience across technical stacks who wants to make an impact in the healthcare space.
Requirements
5+ years of experience in developing and deploying ML-based products and services in production.
5+ years of experience in building and maintaining highly scalable and reliable cloud-based production ML systems.
3+ years of experience using MLOps principles to build infrastructure that enables ML model development and deployment in production systems.
3+ years of experience with relational databases such as Postgresql, MySQL, etc.
3+ years of experience with cloud platforms such as AWS, Google Cloud, Azure, etc.
Hands-on experience implementing production ML systems at scale in Python, C++, or similar languages.
Experience in solving complex system and storage challenges through scalable, fault-tolerant architecture.
A BS in Computer Science or equivalent experience.
Experience with health data, integration with electronic health records (EHR) systems, and Health IT interoperability standards is preferable.
Benefits
Collaborative and inclusive work culture.
Opportunity to work on impactful healthcare technology.