Senior Applied Scientist

Oracle • United States,

7d • $113,000 - $234,600

About The Position

Oracle Health & AI is a newly formed organization focused on product development and strategy for Oracle Health and on building a platform for modernized, automated healthcare. The team has an entrepreneurial, energetic, and creative environment and aims to build a world-class engineering center.

The Senior Applied Scientist will help shape Oracle’s AI capabilities, particularly in Large Language Models (LLMs) and Generative AI, by delivering AI-powered solutions for healthcare and enterprise customers. The role involves translating business needs into AI projects, developing and evaluating production-ready models, applying advances in generative AI and machine learning, and guiding technical delivery across teams. The scientist will also lead and mentor applied scientists and promote strong engineering practices.

Requirements

• Demonstrated experience designing and implementing scalable AI models for production.
• Deep technical understanding of machine learning, deep learning architectures such as Transformers, training methods, and optimizers.
• Practical experience with LLM and generative AI technologies, including parameter-efficient fine-tuning, instruction fine-tuning, and advanced prompt engineering techniques such as Tree-of-Thoughts.
• Hands-on experience with emerging LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, and Guidance.
• Experience designing data collection and annotation solutions and systematic evaluation for developing and maintaining production systems.
• Commitment to keeping current with the field, applying academic advances to complex business problems, and bringing solutions into production.
• Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences.
• Demonstrated experience leading and mentoring early-career scientists.
• PhD in Computer Science, Mathematics, Statistics, Physics, Linguistics, or a related field, with a dissertation, thesis, or final project centered on machine learning and deep learning, and 1 or more years of relevant experience; or a master's or bachelor's degree in a related field with 3 or more years of relevant experience. A PhD is preferred but not required.

Nice To Haves

• Knowledge of healthcare and experience delivering healthcare AI models.
• Familiarity and experience with recent advances in computer vision and multimodal modeling.

Responsibilities

• Collaborate with product managers to translate business and product requirements into AI projects.
• Collaborate with technical leaders to ensure successful and timely model delivery and service integration.
• Coordinate with multinational teams to move projects from research proof of concept to production.
• Develop healthcare and enterprise services and features using advances in generative AI, machine learning, and deep learning.
• Design and review AI solution architecture, including data, models, training, and evaluation, using best practices.
• Lead and mentor junior and senior applied scientists.
• Develop production code and advocate for strong coding and engineering practices.
• Participate in project planning, reviews, and retrospectives.
• Identify and mitigate risks in plans and execution, particularly where business and engineering intersect.

Benefits

• Medical, dental, and vision insurance, including expert medical opinion.
• Short-term and long-term disability insurance.
• Life insurance and accidental death and dismemberment coverage.
• 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 paid vacation, depending on employee eligibility and position.
• 11 paid holidays.
• 72 hours of paid sick leave upon hire, refreshed annually, with unused hours carrying over up to a 112-hour cap.
• Paid parental leave.
• Adoption assistance.
• Employee Stock Purchase Plan.
• Financial planning and group legal benefits.
• Voluntary auto, homeowner, and pet insurance.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior