Garner Health
Staff Machine Learning Operations Engineer
$298K–$351K
New York City, New York +1 · Staff · Full-time · Posted Sep 9, 2026
- Location
- New York City, New York
New York, NY - Experience
- 7+ years of software engineering experience, with significant time spent operating ML or data-intensive systems in production at scale.
About the job
Build and operate Garner’s production ML platform, ensuring reliable, secure, high-performing, and cost-efficient deployment and monitoring of models.
What you'll do
- Own production ML system reliability, performance, cost-efficiency, observability, SLOs, and on-call responsibilities.
- Architect the ML platform and implement model CI/CD, including automated data-quality checks and model validation.
- Build drift-monitoring systems and establish MLOps workflows, standards, and KPIs.
What they ask for
- 7+ years of software engineering experience, including significant experience operating ML or data-intensive systems in production at scale.
- Deep experience with model serving, feature stores, model registries, and CI/CD for ML.
- Strong platform and infrastructure fundamentals, including Kubernetes, containerization, cloud, Terraform/IaC, observability, and incident response.
- Experience designing ML platforms or significant components of one.
Nice to have
- Healthcare, regulated-data, or other high-stakes production ML experience.
- AWS experience is preferred.
Pay
$298,000 - $351,000 USD base salary
Tools
Python, Kubernetes, AWS, Sagemaker, Terraform, S3, Snowflake, Airflow
AI focus
Develop and operate infrastructure for deploying, optimizing, and monitoring production machine learning models, including data and concept drift monitoring.
Model-written summary · the original posting is authoritative