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Weka

Data Science, Analytics and AI/ML

Weka (Waikato Environment for Knowledge Analysis) is an open-source machine learning software suite developed at the University of Waikato in New Zealand, providing a collection of algorithms for data mining tasks like classification, regression, clustering, and visualization through a graphical interface. It is widely used in academic research and teaching as an accessible entry point to applied machine learning without requiring extensive programming.

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Open roles requiring Weka (2)

NVIDIA

Distinguished Engineer, Storage – AI Cloud

NVIDIA

Full-time · Santa Clara, CA · $320,000 – $488,750

NVIDIA is seeking a Distinguished Engineer to architect and lead the storage strategy for AI Cloud infrastructure, managing exabyte-scale systems that power the world's largest GPU fleets. This role suits a deeply technical systems expert with decades of high-performance storage experience who can set multi-year technical direction while remaining hands-on with code and production systems.

Listed on NVIDIA’s careers site · Apply there ↗

Staff Engineer, Distributed Storage and HPC & AI Infrastructure

Together AI

Full-time · San Francisco, CA · $250,000 – $300,000

Build and operate massive distributed storage systems for AI and machine learning workloads, architecting high-performance storage solutions that handle tens of petabytes of data and delivering extreme throughput to GPU clusters. This role suits engineers with deep expertise in storage systems and cloud infrastructure who want to solve infrastructure challenges at massive scale.

Listed on Together AI’s careers site · Apply there ↗

Roles that use Weka

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