PhD Applied Scientist Intern

Job Description
Intern - Must be enrolled in a university prior to and post internship.
Target Internship Duration: May-Aug 2026 or June-Sept 2026.
The Program:
Our future success depends on hiring world-class, early in career talent who are looking to power next-generation services and solutions. We are hiring students with a diverse set of skills and experiences to work in and across teams. Our program is intended to enhance your overall learning experience, help build your network, and accelerate your opportunity to make an impact.

The Team:
Analytics Cloud is also a business platform that delivers a full range of analytic and reporting capabilities. Our Business Intelligence platform of products provides enterprise-class level performance, security, scalability and manageability apart from the very sophisticated and innovative features in core analytics. The BI platform is world-class federated database. It enables business applications to query data from multiple heterogeneous systems and perform advanced business analytics. This platform enables companies to quickly and accurately gain a holistic view of their performance, as well as optimize their decision-making process. We have successfully differentiated ourselves from the competition by providing unparalleled breadth and depth in our features.

The Company:
Oracle is the world's leading provider of business software. With a presence in over 175 countries, we are one of the biggest technology companies on the planet. We're using innovative emerging technologies to tackle real-world problems today. From advancing energy efficiency to reimagining online commerce, the work we do is not only transforming the world of business—it's helping advance governments, power nonprofits, and giving billions of people the tools they need to outpace change. For more information about Oracle (NYSE:ORCL), visit us at .

Responsibilities
What You'll Do:
At Oracle Analytics, we are building the next generation of enterprise AI products that enable intelligent data analysis at scale. By leveraging Oracle's strengths in data management and enterprise software, we are advancing our platforms through the integration of Agentic AI, generative AI, and modern machine learning techniques.

We are seeking Applied Scientist Interns to contribute to research and prototyping efforts in GenAI involving structured and unstructured data by building AI Agents, alignment of reasoning LLMs, retrieval techniques and inference scaling.

As an intern in the Applied Science team, you will contribute to the design and development of enterprise-grade AI agents fueled by reasoning-focused LLMs that power Oracle's next-generation analytics and data platforms. We are looking for PhD students who excel in working independently given a problem, can find relevant work quickly and develops hypothesis and research questions with strong empirical skills to solve the problem.

What You'll Bring: (Objective Minimum Qualifications)

• Currently enrolled in a PhD program in Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field during the school year AND returning to the program after completion of the internship.
• Visa sponsorship is not available for this role. For clarity purposes, this means that Oracle is not in a position now, or in the future, to offer US immigration sponsorship. This includes, but is not limited to, support of H-1B, TN, O-1, green card or F-1 e.g. EAD, OPT, CPT, I-20, F-1 visa stamp, etc.
• Demonstrated experience in designing and implementing scalable AI/ML systems for real-world or production-like enviornments.
• Strong foundation in Machine Learning, Deep Learning, and Generative AI, with emphasis on LLMs and reasoning models.
• Experience working with structured data systems (SQL, analytics engines, schemas) and unstructured data (documents, text corpora).

• Hands-on experience with LLM frameworks and agentic tooling such as:

• LangChain

• VectorStores, retrievers and hybrid retrieval
• Graph-based or knowledge-augmented generation (GraphRAG)
• LLM Cache, orchestration, and LLMOps (MLFlow),
• Fine-tuning LLMs, Reinforcing Learning, Reward modeling

• Inference scaling, training verifiers and critic models

• Strong research background with a solid publication record (with publications in ACL, EMNLP, NeurIPS, ICLR, NAACL, etc.)

• Reside in the United States and/or attend a university in the US.
• Able to obtain work authorization in the US in 2026.

Qualifications
Disclaimer:

Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.
Range and benefit information provided in this posting are specific to the stated locations only
US: Hiring Range in USD from $ $38.32 per hour; from: $40,800 - $79,700 per year.

Oracle maintains broad salary ranges for its roles in order to