# Staff Machine Learning Operations Engineer at Garner

- Company: Garner
- Company website: https://www.garnernc.gov
- Type: Startups (AI role)
- Level: Senior
- Location: New York City, New York
- Work setup: On-site
- Pay: $298K to $351K base salary per year (USD)
- Posted: 2026-09-09
- Apply by: 2026-10-24
- Apply: https://job-boards.greenhouse.io/garnerhealth/jobs/6186647004
- Page: https://www.1752.vc/careers/jobs/garner-staff-machine-learning-operations-engineer/

## About the role

We are seeking an exceptional Staff Machine Learning Operations Engineer to join our Platform Engineering team . This role will report to the VP of Platform Engineering . As Garner's foundational dedicated MLOps Engineer, you will assume responsibility for the reliability, performance, and cost-efficiency of our production machine learning systems. You will lead the development of a robust platform designed to facilitate the secure and consistent deployment of models by our machine learning and data science teams.

## What they're looking for

- 7+ years of software engineering experience, with significant time spent operating ML or data-intensive systems in production at scale
- Deep experience with the modern ML production stack: model serving (e.g., Sagemaker, Triton, or equivalent), feature stores, model registries, and CI/CD for ML
- Strong infrastructure and platform engineering fundamentals: Kubernetes, containerization, cloud (AWS preferred), Terraform/IaC, observability, and incident response
- Experience designing ML platforms or significant components of one (not strictly consuming SaaS) and the judgment to know when to build vs. buy
- Strong collaboration with ML, data, platform engineers, data scientists, and product engineering teams, with the ability to set technical direction as the most senior MLOps voice in the org
- Healthcare, regulated-data, or other high-stakes production ML experience is a plus but not required

Tags: Engineering