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
#J-18808-LjbffrSenior Applied ML Engineer – Cloud Infra & Optimization in san francisco at Unknown Company
This position is listed as full time and onsite.