Radically transform cloud infrastructure with ML-powered job clusters to hit SLA goals and lower Databricks costs by 50%
Cloud Computing • Cloud Infrastructure • Apache Spark • Databricks • Optimization
June 26
🏡 Remote – New York
Radically transform cloud infrastructure with ML-powered job clusters to hit SLA goals and lower Databricks costs by 50%
Cloud Computing • Cloud Infrastructure • Apache Spark • Databricks • Optimization
• Research and build technical solutions that solve business problems • Design and implement data analysis pipelines and machine learning models • Work in cloud development environments such as AWS, GCP, and Azure
• Masters degree or PhD in engineering or computer science • Minimum of 5 years of experience in a similar role
• Full-time Remote available • Working with top-tier data scientists from MIT, Harvard, and Berkeley • Opportunity to solve technical problems and build core optimization engine
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