Staff Machine Learning Operations Engineer
Garner Healthabout 2 hours ago
Base Salary
$298k - $351k/yr
Responsibilities
- Own the reliability, performance, functionality, and cost-efficiency of production ML systems.
- Architect the ML platform including data infrastructure and standardized service patterns.
- Implement ML-specific CI/CD pipelines for automated deployment processes.
- Drive down cost and latency through improved architecture and model optimization.
- Lay the foundation for a future MLOps team with workflows, standards, and KPIs.
- Design and implement automated data drift monitoring systems.
Requirements
- 7+ years of software engineering experience with ML or data-intensive systems.
- Deep experience with the modern ML production stack including model serving and CI/CD.
- Strong fundamentals in infrastructure and platform engineering, including Kubernetes and AWS.
- Experience designing ML platforms or significant components of one.
- Ability to collaborate with various engineering teams and set technical direction.
- Healthcare or regulated-data experience is a plus.
Benefits
- Flexible PTO.
- Medical/Dental/Vision plan options.
- 401(k) plan.
- Equity incentive participation.