ML Platform Engineer

Databricks is looking for a Senior ML Platform Engineer to build and scale our MLOps infrastructure. You will design and implement the systems that enable data scientists and ML engineers to train, deploy, and monitor models at enterprise scale. You will work on model serving infrastructure, feature stores, experiment tracking, and automated ML pipelines. Your work will power ML workflows for thousands of enterprise customers. This role requires strong software engineering fundamentals combined with deep knowledge of ML systems and cloud infrastructure.

- 5+ years of software/ML engineering experience - Strong experience with Kubernetes and Docker - Proficiency in Python and at least one systems language (Go, Rust, Java) - Experience building ML pipelines (MLflow, Kubeflow, or similar) - Cloud infrastructure expertise (AWS, GCP, or Azure) - Understanding of ML model serving and optimization