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
More about this role
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
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...
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