OCI GenAI PhD Applied Scientist - Full-time Intern Conversion
Skip the busywork
ApplyBolt rewrites your resume for this exact role and hits submit. You just pick the jobs.
About this role
This FTE conversion requisition is ONLY for current Oracle OCI PhD interns to be rehired for full-time roles
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.
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.
You will be part of a team of smart, hands-on engineers with the expertise and passion to solve difficult problems in distributed highly available services and virtualized infrastructure. At every level, our engineers have a significant technical and business impact by designing and building innovative new systems to power our customer’s business critical applications.
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