Senior Applied ML Engineer - ML4Sys

RDQ127R59

Summary

As a Senior Applied ML Engineer on the Applied AI team at Databricks, you will use machine learning, scheduling, and optimization algorithms to maximize the efficiency and performance of our infrastructure. Your work will span the entire stack—from cluster management down to query compilation. You will solve complex, high-impact engineering problems to deliver highly optimized, cost-effective workloads for our customers.

Impact You Will Have

Accelerate Serverless Growth: Drive the scaling and efficiency of Databricks serverless compute products through advanced optimization techniques.

Build Systems: Design end-to-end ML4Sys solutions from the ground up within a lean team of domain experts to support 

Shape Strategy: Define the roadmap for applied ML investments by collaborating with engineering and product leaders across Databricks.

Drive Deployment: Architect, train, and deploy state-of-the-art models that directly improve product performance and cost efficiency.…