Senior Applied Ml Engineer - Ml4sys

Senior Applied ML Engineer at Databricks focused on ML4Sys. This role involves using machine learning, scheduling, and optimization algorithms to enhance infrastructure efficiency and performance across the entire stack, from cluster management to query compilation. The engineer will design and deploy ML solutions to accelerate serverless growth, build robust ML pipelines, and shape the strategy for applied ML investments.

Skills and focus areas

• machine learning
• scheduling algorithms
• optimization algorithms
• cluster management
• query compilation
• serverless compute
• end-to-end ml4sys solutions
• model training
• model deployment
• ml pipelines
• data processing
• model serving