Job Description
Description
Amazon Redshift is the world’s most popular fully managed cloud data warehouse. Tens of thousands of enterprise customers use Redshift to crunch through exabytes of data in the cloud to make business critical decisions every day. To stay ahead in such a mission critical setting, at Redshift, we must always re-invent ourselves for customers. We are always looking for the innovative engineers to help shape the future of Redshift.
We are looking for an Applied Scientist to build deep learning models that predict query resource consumption, enabling intelligent workload management at massive scale. Query resource prediction is at the heart of Redshift's workload management, determining how queries are scheduled, scaled, and executed across the system.
This is a unique opportunity to shape the future of intelligent query management for the world's most popular cloud data warehouse, powering analytical workloads for Fortune 500 companies, startups, and everyt...
Amazon Redshift is the world’s most popular fully managed cloud data warehouse. Tens of thousands of enterprise customers use Redshift to crunch through exabytes of data in the cloud to make business critical decisions every day. To stay ahead in such a mission critical setting, at Redshift, we must always re-invent ourselves for customers. We are always looking for the innovative engineers to help shape the future of Redshift.
We are looking for an Applied Scientist to build deep learning models that predict query resource consumption, enabling intelligent workload management at massive scale. Query resource prediction is at the heart of Redshift's workload management, determining how queries are scheduled, scaled, and executed across the system.
This is a unique opportunity to shape the future of intelligent query management for the world's most popular cloud data warehouse, powering analytical workloads for Fortune 500 companies, startups, and everyt...
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