Oracle is looking to hire PhD students to work on next-generation services and solutions, specifically in the area of Generative AI, to power its growing cloud infrastructure business and tackle complex challenges for its customers.
Requirements
- PhD degree in Computer Science, Linguistics, Statistics, Applied Mathematics, Operations Research, or related technical field
- Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Data Science, or similar areas)
- Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences
- Experience with Large Language Models (LLMs) and Multi-modality Models
- Knowledge of machine learning technologies and cloud infrastructure
- Experience with programming languages such as Python, Java, or C++
- Familiarity with deep learning frameworks such as TensorFlow or PyTorch
Responsibilities
- Leading the effort of building distributed, scalable, high-performance AI model training and serving systems
- Diving deep into model structure to optimize model performance and scalability
- Building state of art systems with cutting-edge technologies in the fast evolving area of Generative AI
- Playing a key role in shaping the future of Generative AI at Oracle, with an emphasis on Large Language Models (LLMs) and Multi-modality Models
- Delivering new Generative AI-powered services for large scale enterprise customers
- Building and operating massive-scale cloud services leveraging state of art machine learning technologies
- Advancing the state-of-the-art in areas such as Generative AI Applications, Agentic Platforms, Reasoning and Planning, Retrieval Augmented Generation, Generative AI Evaluation, Responsible AI, Models’ Verticalization, NL2Code, NL2SQL, and Multimodal GenAI
Other
- Must be enrolled in a university prior to and post internship
- Target Internship Duration: May-Aug or June-Sept 2026
- Locations: this position is fully in office in a hub location (Redwood Shores, Seattle)
- Must reside in the United States and/or attend a university in the US
- Authorized to work in the US in 2026
