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Principal Applied Scientist

Oracle

$120,100 - $251,600
Dec 15, 2025
Remote, US
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At Oracle Analytics, the business problem is to build the next generation of enterprise AI products to enable intelligent data analysis at scale, leveraging foundational strengths in data management and enterprise software applications, and advancing platforms and applications by deeply embedding cutting-edge agentic AI, generative AI, and innovations in machine learning and optimization.

Requirements

  • PhD in Computer Science, Mathematics, Statistics, Engineering, or a related field
  • Strong coding skills (Python, PyTorch, Spark, frameworks such as LangGraphs, DeepSpeed, NVidia Tensor-RT, vLLM)
  • Hands-on development experience and a history of transitioning science solutions into successfully deployed products.
  • Deep understanding of state-of-the-art AI models for structured and unstructured data and their engineering implementations.
  • Publication record in first-tier venues, such as ICML, Neurips, ICLR, ACL, EMNLP.
  • Experience in LLM training, posttraining, and/or fine-tuning, LLM adaptation, agent development, orchestration, and model evaluation
  • Experience in foundation models for structured data, tabular representation learning, graph-based learning, or time series modeling

Responsibilities

  • Collaborate with a team of applied scientists and research engineers to architect, develop, and evaluate innovative Ai and applied science solutions in response to business requirements.
  • Write high quality code to power experiments and build models. Contribute to writing production model code.
  • Collaborate with data engineers to provide guidelines for data collection and annotation.
  • Collaborate closely with cross-functional teams to deliver solutions into various applications and products.
  • Identify new opportunities for scientific exploration and evaluate emerging technologies.
  • Maintain a deep understanding of industry trends and developments in your field.

Other

  • Minimum of 5 years of work experience in AI/Generative AI/Machine Learning in an industry setting
  • Excellent problem-solving and analytical skills.
  • Strong communication skills and a flexible, collaborative mindset.
  • US: Hiring Range in USD from: $120,100 - $251,600 per year. May be eligible for bonus, equity, and compensation deferral.
  • Comprehensive benefits package which includes medical, dental, and vision insurance, short term disability and long term disability, life insurance and AD&D, etc.