Lead Principal Applied Scientist

Oracle•United States,
•$126,200 - $264,100

About The Position

Oracle Cloud Infrastructure’s AI Science team develops Generative AI, Agent, and Analytics services, building foundational technologies that help enterprise customers apply AI to business problems while keeping their data safe and protected. The team works across applied science and engineering to deliver high-quality models, agents, analytics solutions, and services. The Lead Principal Applied Scientist will lead research and development in Generative AI and Data Analytics, architecting, building, and deploying advanced AI models and solutions at scale. The role involves exploring new frontiers in Generative AI with scientists and collaborating with software engineers, product managers, and other teams to deliver globally deployed solutions for enterprise use cases. The scientist will help shape Oracle’s Generative AI and Data Analytics capabilities and contribute to new services for large-scale enterprise customers.

Requirements

  • PhD in Computer Science focused on LLMs, agents, or analytics, or a related field.
  • At least 3 years of relevant experience.
  • Strong publication record, including lead-author publications, in top-tier journals or AI, LLM, or analytics conferences.
  • Extensive experience in NLP, LLMs, VLMs, retrieval, enrichment, and analytics.
  • Demonstrated track record leading research and development projects.
  • Strong understanding of AI/ML algorithms and architectures.
  • Excellent problem-solving and analytical skills.
  • Strong leadership and communication abilities.

Responsibilities

  • Research Generative AI and Data Analytics, focusing on areas such as Large Language Model architectures, models, representations, evaluation, optimization, and planning, as well as emerging approaches.
  • Design, develop, and train state-of-the-art LLM models and agents to high quality standards.
  • Provide technical leadership and mentor junior scientists.
  • Collaborate with cross-functional teams to integrate Generative AI capabilities into applications and products.
  • Identify opportunities in Generative AI and Data Analytics and explore emerging technologies for unstructured and structured data.
  • Maintain a deep understanding of industry trends and advancements.

Benefits

  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Short-term disability insurance
  • Long-term disability insurance
  • Life insurance and AD&D
  • Supplemental life insurance for employees, spouses, and children
  • Health care and dependent care Flexible Spending Accounts
  • Pre-tax commuter and parking benefits
  • 401(k) savings and investment plan with company match
  • Flexible or accrued vacation, depending on employee eligibility and position
  • 11 paid holidays
  • Paid sick leave
  • Paid parental leave
  • Adoption assistance
  • Employee Stock Purchase Plan
  • Financial planning and group legal benefits
  • Voluntary auto, homeowner, and pet insurance
  • Potential bonus, equity, and compensation deferral eligibility

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What This Job Offers

Job Type

Full-time

Career Level

Senior

Education Level

Ph.D. or professional degree

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