Machine Learning Engineer (ML Ops & Pipelines)

Who We Are:

CurieDx is a Johns Hopkins–affiliated digital health startup building a “lab in your pocket.” Our platform uses smartphone images, digital biomarkers, and AI to detect infections like strep throat, influenza, and UTI, helping patients and clinicians make faster, evidence-based decisions without swabs, labs, or long clinic visits.

We are moving deep learning models from research into real-world clinical deployment. This role is critical to making that happen reliably, securely, and at scale.

We're a small, fast team where your work ships to production and directly impacts patient care. This is a role where you're building the data pipelies ML infrastructure from the ground up.

Role Description

We are hiring an MLOps Engineer who can own the data pipelines that power our AI platform, and infrastructure.

What you'll own:

ML Pipeline Engineering ...