Senior Applied ML Engineer – Cloud Infra & Optimization

Databricks; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Databricks Inc. is seeking a Senior Applied ML Engineer on the Applied AI team based in San Francisco to apply ML, scheduling, and optimization techniques to the Databricks infrastructure and platform stack.

You will work across the stack—from cluster management to query compilation—tackling high-impact engineering challenges to improve performance and efficiency for customers. You will build end-to-end ML systems, deploy state-of-the-art models, and push the boundaries of distributed compute by

Job description

Databricks is seeking a Senior Applied ML Engineer on the Applied AI team to apply ML, scheduling, and optimization to Databricks infrastructure. You will work across the stack—from cluster management to query compilation—and tackle high-impact engineering problems to deliver optimized, cost-efficient workloads for customers.

You will build end-to-end ML systems, deploy state-of-the-art models, and push the boundaries of distributed compute by leveraging cloud platforms, data processing