Metriport
Senior AI/ML Engineer
$200K–$260K
San Francisco · Hybrid · Senior · Full-time · Posted Oct 7, 2026
- Experience
- 7+ years building ML systems that run against real data at scale.
About the job
Own end-to-end machine learning at Metriport, building and operating models and ML infrastructure that turn clinical data into useful insights for healthcare customers.
What you'll do
- Build predictive models for clinical use cases such as risk stratification, utilization prediction, and care gap detection.
- Manage the ML lifecycle, including feature engineering, training, evaluation, deployment, and production monitoring.
- Build pipelines and infrastructure for training, inference, experiment tracking, model versioning, and transforming unstructured clinical records.
What they ask for
- 7+ years building ML systems that run against real data at scale.
- Strong ML fundamentals across regression, tree-based methods, feature engineering, dimensionality reduction, and deep learning; has built and trained models.
- Track record of measurable ML results in production.
- Strong software engineering and data skills, including cloud backend systems, SQL, and end-to-end ownership of ML pipelines, serving, and monitoring.
Nice to have
- Experience with healthcare standards or technologies such as FHIR, HIE, IHE, EHR/EMR, HL7, HEDIS, or LOINC.
- Founder experience or experience as the first/only ML hire at an early-stage startup.
Pay
$200K – $260K USD base salary
Tools
Python, TypeScript, AWS, SQL, Node.js, CDK, SageMaker, Snowflake
AI focus
Applied machine learning on clinical data, including predictive modeling, converting unstructured clinical records into structured data, and production ML infrastructure; the posting says this is not a research or LLM-wrapper role.
Model-written summary · the original posting is authoritative