Who we are
We are a fast-growing Johns Hopkins startup that is revolutionizing digital health. CurieDx is a mobile app that predicts diseases, like strep throat and urinary tract infections, with a smartphone image and AI analysis. Our mission is to help families feel better, faster, with lab tests on the phone.
About the role
We're seeking an experienced ML Ops Engineer to operationalize computer vision models for disease classification and medical imaging. By joining our team, you'll make a meaningful impact on patient care by taking models from R&D to production and building scalable deployment pipelines. The ideal candidate is passionate about advancing healthcare technology and thrives on building cutting-edge solutions that transform patient outcomes.
Key Responsibilities
- Build ML pipelines for training, evaluation, and deployment using AWS SageMaker, partnering with data scientists to translate research models into production systems
- Manage end-to-end data workflows from ingestion through preprocessing, ensuring clean, high-quality datasets ready for training
- Own and evolve annotation pipelines, working closely with internal teams and external vendors to manage annotation workflow automation
- Deploy and monitor Computer Vision models in production with cost-awareness, reliability, and optimized inference performance
- Design scalable MLOps solutions for retraining, versioning, and observability
- Collaborate cross-functionally with data scientists, backend, product, and clinical teams to bring ML features to life
Requirements
- 3+ years of experience in MLOps, ML engineering, or production ML system deployments
- Hands-on experience building data pipelines for
image/video
preprocessing, augmentation, and annotation workflows
- Deep AWS expertise with hands-on experience in SageMaker, EC2 (GPU instances), S3, Lambda, and broader AWS ecosystem for ML workloads
- Experience with CI/CD pipelines, containerization (Docker), and orchestration tools (Airflow, Step Functions)
- Familiarity with annotation tools and data labeling workflows
- Must be comfortable operating in lean environments - scrappy, resourceful, and action-oriented
Preferred Qualifications
- Experience with annotation tools and data labeling workflow optimization
- Experience with model training, hyperparameter tuning, and experimental workflows
Why you should join CurieDx
Our mission is to help people who are sick, feel better faster. We are transforming the world of telehealth and home testing. We are the first company to offer a suite of medical tests for remote care/telehealth using smartphone images- lab tests on your phone. We are supported by Johns Hopkins University, Microsoft, the National Science Foundation and Biomedical Advanced Research and Development Authority.
Summary
If you're passionate about creating meaningful impact and want to join a team that values collaboration and innovation, we'd love to hear from you.
CurieDx is an equal opportunity employer and values diversity. All qualified applicants will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
