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[REMOTE] Principal Applied Scientist

Oracle

[REMOTE] Principal Applied Scientist

full-timePosted: Jul 6, 2026Updated: Aug 27, 2026United States

Job Description

Building off our Cloud momentum, Oracle has formed a new organization - Oracle Health & AI. This team will focus on product development and product strategy for Oracle Health, while building out a complete platform supporting modernized, automated healthcare. This is a net new line of business, constructed with an entrepreneurial spirit that promotes an energetic and creative environment. We are unencumbered and will need your contribution to make it a world class engineering center with the focus on excellence. As our Principal Applied Scientist, you will play a key role in shaping the future of AI at Oracle, with an emphasis on Large Language Models (LLMs) and Generative AI. Your contributions will be pivotal in delivering our new Generative AI-powered solutions for healthcare and enterprise customers. Collaborate with product managers to translate business and product requirements into AI projects.Collaborate with fellow technical leaders to ensure the successful and timely delivery of models and integration of services.Coordinate with multinational teams to drive projects from research POC to production.Develop new healthcare and enterprise services and features leveraging recent advances in generative AI, machine learning and deep learning.Design and review the architecture of AI solutions, including data, model, training, and evaluation, employing best practices.Lead and mentor both junior and senior applied scientists.Develop production code and advocate for the best coding and engineering practices.Participate in project planning, review, and retrospective sessions.Identify and mitigate risks in our plans and executions, especially at the intersection of business and engineering. Qualifications and Experience Demonstrated experience in designing and implementing scalable AI models for production.Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers, training methods, and optimizers.Practical experience with the latest technologies in LLM and generative AI, such as parameter-efficient fine-tuning, instruction fine-tuning, and advanced prompt engineering techniques like Tree-of-Thoughts.Hands-on experience with emerging LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc.Proven experience in designing data collection/annotation solutions and systematic evaluation necessary for developing and maintaining production systems.Commitment to staying up-to-date with the field and applying academic advances to solve complex business problems, and bringing them into production.Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences.Experienced leading senior scientists and early-career scientists. Preferred Qualifications Knowledge of healthcare and experience delivering healthcare AI models are a significant plus.Familiarity and experience with the latest advancements in computer vision and multimodal modeling is a plus. EducationPhD Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) with 3+ years relevant experience is preferred but not a must; ORMasters or Bachelor’s in related field with 5+ years relevant experience Oracle is committed to incorporating generative AI into our applications and workflows for business users. This role presents a unique opportunity to work on pioneering AI technologies and contribute to Oracle's Generative AI strategy. At Oracle, we value diversity and encourage continuous learning for career growth. Come join our team to make a significant difference! Disclaimer:Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.Range and benefit information provided in this posting are specific to the stated locations onlyUS: Hiring Range in USD from: $126,200 to $264,100 per annum. May be eligible for bonus, equity, and compensation deferral.Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.Oracle US offers a comprehensive benefits package which includes the following:1. Medical, dental, and vision insurance, including expert medical opinion2. Short term disability and long term disability3. Life insurance and AD&D4. Supplemental life insurance (Employee/Spouse/Child)5. Health care and dependent care Flexible Spending Accounts6. Pre-tax commuter and parking benefits7. 401(k) Savings and Investment Plan with company match8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.9. 11 paid holidays10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.11. Paid parental leave12. Adoption assistance13. Employee Stock Purchase Plan14. Financial planning and group legal15. Voluntary benefits including auto, homeowner and pet insuranceThe role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.Career Level - IC4

Locations

  • United States

Salary

126,200 - 264,100 USD / yearly

Skills Required

  • designingintermediate
  • latest technologies in LLMintermediate
  • emerging LLM frameworksintermediate
  • designing data collection/annotation solutionsintermediate
  • healthcareintermediate
  • latest advancements in computer visionintermediate

Required Qualifications

  • Demonstrated experience in designing and implementing scalable AI models for production. (experience)
  • Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers, training methods, and optimizers. (experience)
  • Practical experience with the latest technologies in LLM and generative AI, such as parameter-efficient fine-tuning, instruction fine-tuning, and advanced prompt engineering techniques like Tree-of-Thoughts. (experience)
  • Hands-on experience with emerging LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc. (experience)
  • Proven experience in designing data collection/annotation solutions and systematic evaluation necessary for developing and maintaining production systems. (experience)
  • Commitment to staying up-to-date with the field and applying academic advances to solve complex business problems, and bringing them into production. (experience)
  • Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences. (experience)
  • Experienced leading senior scientists and early-career scientists. (experience)

Preferred Qualifications

  • Knowledge of healthcare and experience delivering healthcare AI models are a significant plus. (experience)
  • Familiarity and experience with the latest advancements in computer vision and multimodal modeling is a plus. (experience)

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