We are an early-stage startup building a health AI platform aimed at helping clinicians utilize real-time data to reduce preventable complications and save patient lives.
We seek a software engineer with diverse experience across technical stacks who is eager to make an impact in the healthcare sector.
Our team consists of AI/ML experts, software engineers, product designers, behavior change specialists, and clinicians, all working collaboratively in a supportive and inclusive environment.
The role is essential for expanding and scaling our platform and module offerings, which are entirely powered by data and machine learning.
Responsibilities include working with product managers, clinicians, data scientists, and other engineers to create a reliable and scalable real-time clinical AI platform.
You will collaborate with data scientists to enhance ML model development and deployment.
The position involves designing, implementing, and deploying health data pipelines and services that integrate with electronic health record (EHR) systems using FHIR and HL7 standards.
You will develop backend APIs and ML services to support our clinical AI products and partner with infrastructure engineers to deploy the platform on AWS.
Requirements:
You must have 5+ years of experience in developing and deploying ML-based products and services in production.
A minimum of 5+ years of experience in building and maintaining highly scalable and reliable cloud-based production ML systems is required.
You should have at least 3+ years of experience using MLOps principles for building infrastructure that supports ML model development and deployment.
Experience with relational databases such as PostgreSQL or MySQL for at least 3+ years is necessary.
You need 3+ years of experience with cloud platforms like AWS, Google Cloud, or Azure.
Hands-on experience implementing production ML systems at scale in Python, C++, or similar languages is essential, with a preference for proficiency in Python.
You should have experience in addressing complex system and storage challenges through scalable, fault-tolerant architecture.
A strong sense of ownership, the ability to navigate uncertainty, and a determination to overcome challenges are crucial.
You must have a collaborative spirit and a proven track record as a driven team player.
A BS in Computer Science or equivalent experience is required.
Experience with health data, EHR integration, and Health IT interoperability standards is preferable.
Benefits:
We offer equal employment opportunities to all employees and applicants, ensuring a discrimination-free workplace.
Our company culture is highly collaborative, inclusive, and supportive, with a strict "no jerks" policy.
Employees are encouraged to work on challenging problems while enjoying a fun and engaging work environment.
We are funded by top-tier tech and biotech investors, providing a stable foundation for growth and innovation.
Our company has received numerous awards and recognitions, highlighting our commitment to excellence in the healthcare AI space.
