PhD Research Internship - Generative AI
Oracle
PhD Research Internship - Generative AI (6 Months)
Location - Australia
Careers are different at the AI, cloud, and database leader for global business. With AI embedded across everything we do, each day is a chance to turn the promise of AI into real impact—helping customers boost productivity and solve challenges that affect billions of people. Here, you’ll build your career on cutting-edge projects with top talent, using secure, enterprise AI to make our shared future better.
Growth is a big part of this—yours and ours. No other company brings together data, infrastructure, and applications like we do. Customers trust us to help them adopt AI—with strong data governance, privacy, and security. And we want you to be part of it with mentoring, on-the-job learning, and certifications that set you up to thrive.
About Oracle Health AI
At Oracle Health and AI (OHAI), we're not just building the future of healthcare applications—we're redefining it. Our diverse team of visionaries and innovators is at the forefront of cutting-edge AI technology, particularly Generative AI, where creativity meets precision. As pioneers in this space, we've consistently delivered industry-leading AI solutions, notably the Oracle Clinical Digital Assistant, solidifying our reputation as trusted leaders in the field. Now, as we tackle challenging problems with real-world impact, we're investigating transformative, Generative AI technologies that promise to revolutionize healthcare for millions.
Research Internship
As a technical intern, you'll be at the forefront of this transformation, shaping the future of AI at OHAI. Your expertise in Large Language Models (LLMs) and Generative AI will be crucial in inventing innovative and disruptive technologies, laying the foundation for groundbreaking applications that will set new standards across the healthcare and related industries. You will work with a dynamic and highly qualified team of experts with deep knowledge in Generative AI and LLM technologies to tackle challenging problems with real-world impact.
Qualifications and Experience
- Demonstrated experience in designing and developing innovative AI models, algorithms and frameworks, with a strong publication track record in top conferences and journals.
- Deep technical knowledge of Machine Learning and Deep Learning architectures, such as Transformers, training methodologies, and optimization techniques.
- Strong familiarity with the latest advancements in Large Language Models (LLM) and generative AI, including but not limited to agent technology, memory, multimodality, reinforcement fine-tuning, pre-training, fine-tuning, alignment, reasoning, RAG, automated prompt/workflow optimisation, advanced prompt engineering, and their applications such as dialogue systems, information extraction, question answering, language generation/summarization.
- Practical experience with emerging LLM frameworks and plugins such as LangChain, LlamaIndex, VectorStores, Retrievers, LLM Cache, and LMQL, showcasing your ability to stay at the forefront of AI technology.
- Knowledge of the healthcare domain and experience in delivering AI models specifically for healthcare applications are highly desirable.
Education
Currently pursuing a PhD’s degree in a relevant discipline (e.g. Computer Science, Mathematics, Statistics, Physics, Linguistics) at an Australian university, with a dissertation focused on Generative AI, LLM, Machine Learning and Deep Learning.
Oracle is committed to incorporating generative AI into our applications and workflows for business users. This role presents a unique opportunity to work on pioneering AI technologies and contribute to Oracle's Generative AI strategy. At Oracle, we value diversity and encourage continuous learning for career growth. Come join our team to make a significant difference!
As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.
We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
At Oracle Health and AI (OHAI), we're not just building the future of healthcare applications—we're redefining it. Our diverse team of visionaries and innovators is at the forefront of cutting-edge AI technology, particularly Generative AI, where creativity meets precision. This is a research internship open to current PhD students enrolled in a relevant program at an Australian university.
Career Level - IC0
- Work closely with mentors and other team members to investigate cutting-edge research that contributes to OHAI’s vision and mission.
- Develop advanced models and algorithms in the areas of ML, DL, NLP and CV that are relevant to our Generative AI projects.
- Design and build analysis pipelines that encompasses requirements elicitation, data gathering, model development & evaluation.
- Identify, define and implement appropriate evaluation metrics to measure and analyze, quantitatively and qualitatively, model performance.
- Identify, curate and collect large and high-quality datasets for training and testing AI models.
- Participate in the development of research ideas and paper writing.
- Prepare detailed reports and presentations with evidence-based insights to support strategic decision-making.