Senior Applied ML Engineer - ML4Sys
Databricks · San Francisco, California · All 478 Databricks jobs
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Typical pay for this role in San Francisco
The median advertised range for a machine learning engineer in San Francisco is $195,000 to $285,982, from 97 adverts that state a yearly pay. This job, at $166,000 to $210,250, sits below the bottom of that range.
Median of the advertised lower and upper figures, not a promise of what is paid.
Required skills
- Machine Learning
- Data Science
- Python
- Scala
- Java
Nice to have
- Databricks
- Scheduling
- Networking
- Forecasting
- Unity
- Compliance
About the job
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.
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Source: Databricks's careers site
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