Staff Machine Learning Platform Engineer

Tech Stack

Solid badges = required, outlined = preferred

Responsibilities

• Design and operate ML infrastructure, including workspaces, clusters, jobs, and workflows.
• Productionize ML workloads using Spark, Delta Lake, MLflow, and Databricks Workflows.
• Teach data scientists how to utilize the ML platform to advance development from notebook to production for critical models.
• Implement Unity Catalog for data governance, lineage, access control, and secure multi-tenant usage.
• Build CI/CD pipelines for ML using Terraform and Git-based workflows (e.g., GitHub Actions).

Soft Skills

Benefits

• Equity

Culture

Requirements