MLOps Engineer

About the Role

Scale AI provides the data infrastructure for the world's leading AI companies. As an MLOps Engineer, you will build the platforms that manage the entire machine learning lifecycle, from data labeling to model deployment. You will work on automating pipelines, monitoring model performance, and ensuring the reliability of our high-throughput AI services.

Requirements

• Experience with Kubernetes and Docker
• Proficiency in Go or Python
• Familiarity with MLflow or Kubeflow
• Strong understanding of CI/CD for ML
• Experience with cloud providers (AWS/GCP)

Benefits

• High-growth startup environment
• Premium health insurance
• Quarterly team events
• Modern office in downtown SF
• Learning stipend