Databricks
Senior Applied ML Engineer - ML4Sys
- San Francisco, United States · On-site
- $166–210.3K / year
- Posted 2 months ago
From Databricks's careers page (Greenhouse)
What they ask for vs. your profile
- DatabricksNot on your profile
- Machine learningNot on your profile
- PythonVerified on your profile
- JavaNot on your profile
- ScalaNot on your profile
- 4+ years of experienceVerified on your profile
Close the gap for free
Databricks
- Free course
- Free self-paced training, Databricks Academy
- Book
- Learning Spark (Damji et al.)
Machine learning
- Free course
- Machine Learning Crash Course, Google
- Book
- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (Géron)
Java
- Free course
- Learn Java, dev.java
- Videos
- Java lessons on YouTube
- Book
- Effective Java (Bloch)
Scala
- Free course
- Tour of Scala, scala-lang.org
- Videos
- Scala lessons on YouTube
- Book
- Programming in Scala (Odersky, Spoon, Venners)
About the role
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.
Read the full description on Databricks's siteSimilar jobs
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