GenAI PhD Applied Scientist - Oracle Cloud Infrastructure (OCI)

Intended for students graduating with their Doctorate degree by, or have graduated within, 12 months of cohort start date in June/July 2026.
Target Start Date: early-June or mid-July 2026
Location: This position is fully in office at our Seattle, WA or Redwood Shores, CA hub. Hub locations are subject to change based on business needs.

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 are delivering innovative services at the intersection of artificial intelligence and cloud infrastructure. In Generative AI Service team, you will build and operate massive-scale cloud services leveraging state of 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
• Models’ Verticalization
• NL2Code, NL2SQL
• Multimodal GenAI

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 oracle.com .

What You’ll Do:
As an Applied Scientist in 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 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 research to production.
• 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.

What You'll Bring: (Objective Minimum Qualifications)

• Have a PhD in Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) by July 2026.
• Demonstrated experience in designing and implementing scalable AI models for production.
• Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers, training methods, and optimizers.
• Practical experience with the latest technologies in LLM and generative AI, such as parameter-efficient fine-tuning, instruction fine-tuning, and advanced prompt engineering techniques like Tree-of-Thoughts.
• Hands-on experience with emerging 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
• Reside in the United States and/or attend a university in the US.
• Able to obtain work authorization in the US in 2026.

Preferred Qualifications:

• Knowledge of LLM and experience delivering Generative AI And Agent models are a significant plus.
• Familiarity and experience with the latest advancements in computer vision and multimodal modeling is a plus.
• Minimum 3.0 GPA