Senior Director, Applied Science

Oracle

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On-site
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Posted
150 days ago
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Confirmed live today

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Similar $247k
$173k $310k
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About Oracle

Oracle Corporation is a leading multinational technology company specializing in database software, cloud computing, and enterprise software.

Oracle currently has 955 open roles on FindRole.

Listed pay typically runs $102,300–$234,600 across 790 roles with salary data.

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At a glance

TL;DR · Senior Director, Applied Science

The Snr Director, Applied Science will lead Oracle Cloud Infrastructure initiatives at the intersection of multimodal generative AI, applied science, and large-scale infrastructure management. This M5 Senior Director role is responsible for execution and operational excellence for teams building and running enterprise-grade multimodal GenAI capabilities. The position involves overseeing the development of systems spanning image, video, audio, and multimodal embeddings. A primary focus of the work includes the large-scale training of multimodal frontier models and the management of model-serving infrastructure at OCI scale. The role requires expertise in managing complex infrastructure for generative AI applications, ensuring that the underlying technical systems can support high-performance model training and deployment. The work addresses the technical challenges of scaling multimodal capabilities within a large-scale cloud environment.

What you'll do

  • Lead Oracle Cloud Infrastructure initiatives for multimodal generative AI and applied science.
  • Drive execution and operational excellence for enterprise-grade multimodal GenAI capabilities.
  • Manage infrastructure for image, video, audio, and multimodal embedding systems.
  • Oversee large-scale training of multimodal frontier models.
  • Manage model-serving infrastructure at OCI scale.
  • Direct teams building and running large-scale infrastructure management systems.

What we're looking for

  • Experience leading Oracle Cloud Infrastructure initiatives at the intersection of multimodal generative AI and applied science.
  • Experience in large-scale infrastructure management for enterprise-grade multimodal GenAI capabilities.
  • Experience building and running infrastructure for image, video, audio, and multimodal embeddings.
  • Experience in large-scale training of multimodal frontier models.
  • Experience in model-serving infrastructure at OCI scale.

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