GenAI PhD Applied Scientist - Oracle Cloud Infrastructure; OCI

GenAI PhD Applied Scientist - Oracle Cloud Infrastructure (OCI)

Intended for students graduating with their Doctorate degree by December 2025, or have graduated within 12 months of start date.

Location: this position is fully in office, in our Austin, Nashville, Santa Clara, or Seattle Hub.

The Program:

Our future success depends on hiring world‑class, early‑in‑career talent who are looking to power next‑generation services and solutions. Our program is intended to enhance your overall learning experience, help build your network, and accelerate your opportunity to make an impact.

The Team:

At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start‑up, with the scale and customer‑focus of the leading enterprise software company in the world.

Oracle Generative AI Service is an exciting team in Oracle Cloud Infrastructure. We deliver innovative services at the intersection of artificial intelligence and cloud infrastructure. In the Generative AI Service team, you will build and operate massive‑scale cloud services leveraging state‑of‑ the‑ art machine learning technologies. We are committed to providing the best in cloud products to meet the needs of our customers who are tackling some of the world’s most challenging problems.

The Oracle Cloud infrastructure business is growing at an incredible 52% annually. This kind of growth results from Oracle’s strong legacy in helping organizations worldwide tackle their most complex challenges and its reputation for performance, reliability, and security.

Join an outstanding team of researchers to advance 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
• NL2
  
  Code, NL2
  
  SQL
• Speech

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  .

What You’ll Do: As an Applied Scientist in the Generative AI Service team, you will be leading the effort of building distributed, scalable, high‑performance AI model training and serving systems in partnership with our applied scientists and software engineers. You will dive deep into model structure to optimize model performance and scalability. You will build state‑of‑the‑art systems with cutting‑edge technologies in this fast evolving area.

You will play a key role in shaping the future of Generative AI at Oracle, with an emphasis on Large Language Models (LLMs) and Multi‑modality Models. Your contributions will be pivotal in delivering our new Generative AI‑powered services for large scale enterprise customers.

Responsibilities:

• Collaborate with product managers to translate business and product requirements into AI projects.
• Collaborate with fellow technical leaders to ensure the successful and timely delivery of models and integration of services.
• Coordinate with global teams to drive projects from in‑depth research to producing production‑ready code.
• Develop new OCI services and features leveraging recent advances in generative AI, machine learning and deep learning.
• Design and review the architecture of generative AI, including data, model, training, and evaluation, employing best practices.
• Lead and mentor both junior and senior machine learning engineers.
• Develop production code and advocate for the best coding and engineering practices.
• Participate in project planning, review, and retrospective sessions.
• Identify and mitigate risks in our plans and executions, especially at the intersection of business and engineering.
• Work closely with cross‑functional teams to integrate…