Principal Applied Scientist (OCI/GenAI) in Us at Oracle
Oracle

Principal Applied Scientist (OCI/GenAI)

Oracle US
Full-time Posted 3 days ago

Responsibilities

  • check_circle Research and Development: Conduct in-depth research on Generative AI and Data Analytics, with a focus on Large Language Models (architecture, models, representation, evaluation, optimizations, planning, among others), and other emerging approaches.
  • check_circle AI Data and Agent Development: Design, develop, and train state-of-the-art LLM models and Agents that meet the highest quality standards.
  • check_circle Team Leadership: technical leadership and mentor junior scientists.
  • check_circle Collaboration: Work closely with cross-functional teams to integrate Generative AI capabilities into various applications and products.
  • check_circle Innovation: Identify new opportunities for Generative AI and Data Analytics and explore emerging technologies for Unstructured and Structured Data.
  • check_circle Stay Updated: Maintain a deep understanding of industry trends and advancements in this space.

Basic qualifications

  • PhD, or Master's degree and 2+ years relevant experience in Computer Science (focused on LLM, Agent, Analytics) or related fields;
  • Strong publication record, including as a lead author, in top-tier journals or AI/LLM/Analytics conferences.
  • Extensive experience in NLP, LLM, VLM, Retrieval, Enrichment and Analytics.
  • Proven track record of leading research and development projects.
  • Strong understanding of AI/ML algorithms and architectures.
  • Excellent problem-solving and analytical skills.
  • Strong leadership and communication abilities

Tags & Focus Areas

Fulltime Ai Generative Ai

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About Oracle

Oracle Exadata is the cornerstone of Oracle Cloud's infrastructure. Our projects involve developing and delivering next-generation capabilities with cutting-edge infrastructure features that seamlessly integrate with leading hyperscaler cloud providers. Our multi-cloud solutions provide customers with flexibility, cost-efficiency, and the ability to handle large-scale AI workloads across various cloud platforms.

Industry Fulltime
HQ Redwood City, US

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