Principal Applied Scientist

Oracle Health AI (OHAI) is Oracle's center of innovation for applying advanced artificial intelligence to the most critical challenges in healthcare and enterprise. Leveraging Oracle's extensive cloud resources and rich healthcare data assets, our multidisciplinary team of scientists, engineers, and clinicians develops leading-edge AI solutions -- such as large language models and generative AI -- that drive smarter decisions, automate workflows, and improve outcomes at scale. At OHAI, we are dedicated to translating the latest breakthroughs in AI into practical, responsible, and impactful technology for clinicians, patients, and organizations worldwide.

We are seeking a visionary Principal Applied Scientist to lead the design, development, and delivery of scalable, production-ready generative AI solutions in healthcare and enterprise domains. As a senior technical leader, you will collaborate cross-functionally with product, engineering, and clinical teams, leveraging the latest advances in Generative AI.

Responsibilities:

• AI Product Development: Partner with product managers to translate business and healthcare requirements into actionable AI projects.

• Technical Leadership: Collaborate with technical leaders and multinational AI teams to deliver high-impact features and services on schedule.

• Cross-Functional Collaboration: Engage with both internal medical experts and customers to deeply understand healthcare contexts and inform AI solution development.

• Project Delivery: Drive projects from concept to production, participating in planning, review, and retrospective meetings.

• Innovative Solution Design: Research, design, and implement cutting-edge generative AI models—leveraging techniques like LLM parameter-efficient fine-tuning, prompt engineering, and multi-modal modeling.

• Architecture & Best Practices: Architect robust AI frameworks, covering data pipelines, model training, evaluation, and deployment while ensuring code quality and engineering best practices.

• Mentorship: Lead and mentor both junior and senior applied scientists, fostering growth and technical excellence.

• Production Code Development: Write and review production-level code, advocating for maintainability and robustness.

• Risk Management: Proactively identify risks and design mitigation strategies at the intersection of technical and business requirements.

• Research Excellence: Contribute to the academic and scientific community through publications, reviews, and by leveraging state-of-the-art research in practical applications.

Qualifications and Experience:

• Demonstrated experience in designing and implementing scalable AI models for production.

• Demonstrated experience in applying LLMs and generative AI technologies to all possible steps in the devops with the goal of improving efficiency in product development.

• Practical experience with the latest technologies for developing LLMs, such as parameter-efficient fine-tuning, instruction fine-tuning, and advanced prompt engineering techniques.

• Deep technical understanding of Large Language Model, Machine Learning / Deep Learning architectures like Transformers, training methods, and optimizers.

• Hands-on experience with different 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.

Education:

• PhD 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; OR

• Masters or Bachelor's in related field with 5+ years relevant experience

As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.

We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

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accommodation- or by calling in the United States.

Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Career Level - IC4