Senior Applied ML Engineer — Cloud Infra & Optimization

Databricks Inc.; 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 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