À propos
Candidates must be currently enrolled in a university both before and after the internship period. Target Internship Duration:
May-August 2026 or June-September 2026. About the Program: Join us on an exciting journey to revolutionize technology! Our internship program is crafted to enrich your learning experience while providing valuable networking opportunities and enabling you to contribute meaningfully to the tech industry. We are looking for dynamic students from diverse backgrounds to collaborate across various teams. The Team: In the Analytics Cloud team, we are dedicated to providing a robust suite of analytic and reporting capabilities through our cutting-edge Business Intelligence (BI) platform. This innovative platform empowers businesses to derive insights swiftly and improve their decision-making processes, distinguishing us in the industry. About Oracle: As a global leader in business software, Oracle operates in over 175 countries, utilizing advanced technology to tackle real-world challenges. From improving energy efficiency to transforming e-commerce, our efforts enable organizations worldwide to adapt and innovate. Visit us at oracle.com for further details. What You'll Do: As an Applied Scientist Intern, you will play a crucial role in developing next-generation enterprise AI products that enhance large-scale data analysis. You'll work at the forefront of leveraging Oracle's advanced capabilities in data management and enterprise software, integrating pioneering technologies like generative AI and sophisticated machine learning techniques. Your responsibilities will include: conducting research and prototyping in generative AI focusing on both structured and unstructured data, creating AI agents, optimizing reasoning LLMs, and refining retrieval techniques and inference scaling. We're seeking PhD students who excel in an independent work environment, can swiftly identify relevant research, and develop empirical hypotheses and research questions to address complex issues rigorously. What You'll Bring: Currently enrolled in a PhD program in Computer Science, Mathematics, Statistics, Physics, Linguistics, or a related field during the 2025-2026 academic year, with plans to return after the internship. Documented experience in crafting and implementing scalable AI/ML systems in production contexts. Strong knowledge base in Machine Learning, Deep Learning, and Generative AI, particularly with LLMs and reasoning models. Experience with both structured data systems (SQL, analytics engines) and unstructured data (documents, text corpora). Practical expertise in LLM frameworks and agentic tools, such as: LangChain VectorStores, retrievers, and hybrid retrieval methods Graph-based or knowledge-augmented generation (GraphRAG) LLM Cache and orchestration tools (MLFlow) Fine-tuning LLMs, Reinforcement Learning, and Reward modeling Inference scaling, training verifiers, and critic models Solid research background with a strong publication record in top-tier conferences (e.g., ACL, EMNLP, NeurIPS, ICLR, NAACL). Must reside in the United States or attend a university in the US. Eligible to obtain work authorization in the US in 2026. Salary and Benefits: Hourly pay ranges from $19.62 to $38.32, equating to an annual salary between $40,800 and $79,700. At Oracle, we provide a comprehensive benefits package, including: Medical, dental, and vision insurance Short-term and long-term disability Life insurance Flexible Spending Accounts for healthcare and dependent care 401(k) Savings Plan with company matching Generous paid time off, including flexible vacation Eleven paid holidays and paid sick leave Paid parental leave and adoption assistance Employee Stock Purchase Plan Financial planning and group legal services Various voluntary benefits We are dedicated to creating a diverse and inclusive work environment. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, disability, or veteran status. If you require assistance or accommodation during the application process, please inform us.
Compétences linguistiques
- English
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