<div class="content-intro"><div> <div> <div class="gmail_quote"> <div> <div><span id="m_-113912706363268805m_-2746164444908759431gmail-docs-internal-guid-131e4fb0-7fff-b4e9-ff50-e8cf32449b1b">CoreWeave is The Essential Cloud for AIâ„¢.
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Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability.
Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025.
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</div> </div> </div> </div> </div> <p> </p></div><p><strong>What You’ll Do:</strong></p> <p>The Data Science team is focused on developing an advanced reliability platform.
This system covers various aspects of data processing and analysis, including data intake, deriving meaningful metrics, identifying unusual patterns, predicting potential issues, finding slow processes in distributed systems, and using automated analysis to determine causes.
We collaborate closely with internal teams like Fleet, Infrastructure, and AI Platform to enhance system stability, optimize resource use, shorten resolution times, and maintain service availability and financial performance.
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As a Senior Data & MLOps Engineer, you will design and scale the infrastructure supporting the GPU Intelligence Platform
This involves building pipelines for handling data, features, model training, and delivering insights and predictions for system health and optimization.
You will transition the system from initial prototypes to a production environment operating across the fleet, focusing on scalability.