Senior Applied ML Engineer - ML4Sys

📋 Description

• Senior ML Engineer on the Applied AI team working on ML, scheduling, and optimization for
• Develop end-to-end ML4Sys solutions from cluster management to query compilation across Databricks.
• Architect and deploy state-of-the-art models to improve product performance and cost efficiency.
• Build robust ML pipelines, data processing layers, and production monitoring to scale
• Collaborate with engineering and product leaders to set roadmaps for applied ML investments.

🎯 Requirements

• MS in ML/Data Science or related field; strong background in building and deploying ML models in
• Practical cloud computing and distributed systems experience; familiarity with modern data
• Proficiency in Python, Scala, or Java.
• Experience with optimization techniques for systems and sequential decision making.
• Track record of optimizing large-scale distributed systems or cloud infrastructure with data-driven

🎁 Benefits

• Pay ranges and compensation details discussed during recruitment; total package may include
• Comprehensive benefits; regional details available via provided link.