Senior Machine Learning Operations Engineer

About the role

The Senior Machine Learning Operations Engineer will lead the design, development, and operation of scalable backend services, APIs and data pipelines that power Hungryroot’s production machine‑learning and optimization systems. The role ensures reliable model deployment, monitoring, and performance, while collaborating with data scientists, operations researchers and product engineers to turn business needs into robust ML infrastructure.

About the company

Hungryroot is a personalized healthy food delivery service founded in 2017, operating at the intersection of healthcare, logistics and food & beverage. With 51‑200 employees, it offers tailored meal plans and easy‑to‑prepare recipes to make healthy eating accessible, convenient, and affordable through a subscription model.

Requirements

• 5+ years in MLOps, ML engineering, or DevOps focused on production ML infrastructure
• Strong Python and SQL; Bash for automation and tooling
• Experience designing and operating reliable, low‑latency, scalable backend services and APIs such as FastAPI
• Hands‑on experience with Databricks and Spark, including jobs/workflows; Unity Catalog a plus
• Experience with MLflow or comparable model lifecycle tooling for registry, versioning, and experiment tracking
• Experience building CI/CD for ML or data systems using Git, GitHub Actions/Jenkins, or Databricks Asset Bundles
• Experience with infrastructure as code using Terraform or similar
• Solid AWS fundamentals: IAM, networking, compute/cluster management, Docker, ECS or EKS
• Experience with production observability: metrics, logging, alerting, data quality monitoring, and model drift monitoring
• Employer will not sponsor applicants for work visas