Oracle is seeking to solve the business problem of advancing its platforms through the integration of Agentic AI, generative AI, and modern machine learning techniques to enable intelligent data analysis at scale.
Requirements
- Demonstrated experience in designing and implementing scalable AI/ML systems for real-world or production-like environments
- 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)
- Experience with 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.)
Responsibilities
- 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
- Design and development of enterprise-grade AI agents fueled by reasoning-focused LLMs that power Oracle’s next-generation analytics and data platforms
- Develop hypothesis and research questions with strong empirical skills to solve the problem
- Work independently given a problem, can find relevant work quickly
- Contribute to the design and development of scalable AI/ML systems for real-world or production-like environments
- Implement scalable AI/ML systems for real-world or production-like environments
- Work with structured data systems (SQL, analytics engines, schemas) and unstructured data (documents, text corpora)
Other
- Currently enrolled in a PhD program in Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field during the 2025-2026 school year AND returning to the program after completion of the internship
- Visa sponsorship is not available for this role
- Reside in the United States and/or attend a university in the US
- Able to obtain work authorization in the US in 2026
- Must be enrolled in a university prior to and post internship
