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Senior Applied ML Engineer - ML4Sys
Databricks
San Francisco, CaliforniaPosted Aug 3, 2026 · 8h ago$16k – $21k
Full-time$16k – $21kSeniorHybridSaaS
About this role
Join Databricks as a Senior Applied ML Engineer to optimize infrastructure performance using machine learning and optimization algorithms. You will work across the full stack, from cluster management to query compilation, solving complex problems to deliver cost-effective workloads for customers.
What we are looking for
6- Drive scaling and efficiency of serverless compute products
- Design end-to-end ML4Sys solutions
- Define roadmap for applied ML investments
- Architect, train, and deploy state-of-the-art models
- Build robust ML pipelines and production monitoring systems
- Research and implement novel modeling techniques for computer systems
Skills mentioned
3PythonJavaMachine Learning
