Databricks is seeking a Senior Applied ML Engineer on the Applied AI team in San Francisco. You will apply ML, scheduling, and optimization to maximize the efficiency of our infrastructure, spanning from cluster management to query compilation.
You will tackle high-impact engineering problems to deliver optimized workloads for customers. Responsibilities include accelerating serverless growth, building end-to-end ML4Sys solutions, shaping ML investment strategy, and deploying models that improve
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