OCI GenAI PhD Applied Scientist

Overview of the OCI GenAI PhD Applied Scientist Role at Oracle

This full-time conversion requisition is exclusively for current Oracle OCI PhD interns transitioning into full-time roles. We are seeking individuals graduating with their Doctorate degree by, or within 12 months of, the June/July 2026 cohort start date.

The target start date for this position is early-June or mid-July 2026. This role requires full-time, in-office presence at our Seattle, WA or Redwood Shores, CA hubs.

Our program is designed to enhance your learning experience, foster network building, and accelerate your impact within the company. At Oracle Cloud Infrastructure (OCI), we are a diverse team of creators and inventors building the future of cloud for enterprises. We operate with the agility of a startup, backed by the scale and customer focus of a world-leading enterprise software company.

The Oracle Generative AI Service team is an exciting group within OCI, dedicated to delivering innovative services at the intersection of artificial intelligence and cloud infrastructure. As an OCI GenAI PhD Applied Scientist, you will be instrumental in building and operating massive-scale cloud services utilizing state-of-the-art machine learning technologies. We are committed to providing superior cloud products to empower our customers in solving global challenges. You will join a team of smart, hands-on engineers passionate about solving complex problems in distributed, highly available services and virtualized infrastructure. Our engineers, at every level, make significant technical and business impacts through innovative system design and development.

Key Responsibilities

• Collaborate with product managers to translate business and product requirements into actionable AI projects.
• Work with fellow technical leaders to ensure successful and timely delivery of models and seamless service integration.
• Coordinate with global teams to drive projects from initial research to full production deployment.
• Develop new OCI services and features leveraging the latest advancements in generative AI, machine learning, and deep learning.
• Design and review the architecture for generative AI solutions, encompassing data, model, training, and evaluation, adhering to best practices.
• Lead and mentor both junior and senior machine learning engineers, fostering growth and expertise.
• Develop robust production code and champion best coding and engineering practices across the team.
• Actively participate in project planning, review, and retrospective sessions to continuously improve processes.
• Identify and mitigate potential risks in project plans and executions, particularly at the intersection of business objectives and engineering challenges.

What You'll Bring (Objective Minimum Qualifications)

• A PhD in Computer Science, Mathematics, Statistics, Physics, Linguistics, or a related field, with a dissertation, thesis, or final project focused on Machine Learning and Deep Learning, completed by July 2026.
• Demonstrated experience in designing and implementing scalable AI models suitable for production environments.
• Deep technical understanding of Machine Learning and Deep Learning architectures (e.g., Transformers), various training methods, and optimizers.
• Practical experience with cutting-edge LLM and generative AI technologies, including 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, and Guidance.
• Proven expertise in designing data collection/annotation solutions and systematic evaluation necessary for developing and maintaining production systems.
• A commitment to staying current with academic advances in the field and applying them to solve complex business problems, bringing innovative solutions into production.
• A strong publication record, including lead authorship or reviewer roles, in top-tier journals or conferences.
• Residency in the United States and/or attendance at a US university. Ability to obtain work authorization in the US in 2026.

Preferred Qualifications

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

Key skills/competency

• Generative AI
• Machine Learning
• Deep Learning
• Large Language Models (LLMs)
• Cloud Services (OCI)
• Model Architecture Design
• Production Deployment
• Data Engineering
• Prompt Engineering
• Distributed Systems