Senior Researcher

Coreweaveu

London · Onsite · Full Time

Posted

Job description

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. 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. Learn more at www.coreweave.com . We're proud to be a Living Wage accredited Employer. Role Overview We are looking for a Senior Researcher to join Monolith’s Research team, now part of CoreWeave. This is a high-impact, high-ownership role for a researcher who combines deep technical expertise in machine learning, statistical modelling, optimisation, and large-scale systems data with the ability to take complex, ambiguous problems from first principles through to production. The Monolith Data Science team is building a layered reliability and intelligence platform that shifts CoreWeave from reactive troubleshooting to proactive reliability engineering. The platform spans telemetry ingestion, feature engineering, anomaly detection, failure prediction, distributed straggler detection, performance modelling, workload optimisation, and agentic root cause analysis. You will work closely with Fleet, Infrastructure, AI Platform, engineering, product, and client-facing teams to improve cluster reliability, increase effective utilisation, reduce MTTR, protect uptime, and turn large-scale GPU infrastructure telemetry into measurable operational and commercial impact. This is not a traditional data science role focused on dashboards, business metrics, or standard forecasting. The role sits at the intersection of applied research, GPU infrastructure, high-performance computing, distributed systems, reliability engineering, telemetry, optimisation, and Physical AI. It demands rigorous scientific thinking, strong execution, and comfort working in a high-ambiguity environment where the right problem framing is often as important as the final model. What You’ll Do Research Leadership & Strategy Contribute meaningfully to Monolith and CoreWeave’s research direction by identifying high-leverage problems in GPU infrastructure analytics, cluster reliability, workload performance, scheduli…

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