GenAI PhD Applied Scientist

About Oracle Cloud Infrastructure (OCI) and the Generative AI Service Team

At Oracle Cloud Infrastructure (OCI), we are pioneering the future of cloud for Enterprises, driven by a diverse team of innovators. We combine the agility of a startup with the scale and customer focus of the world's leading enterprise software company. The Oracle Generative AI Service team is at the forefront of delivering cutting-edge services at the intersection of artificial intelligence and robust cloud infrastructure. This role offers the opportunity to build and operate massive-scale cloud services utilizing state-of-the-art machine learning technologies, directly impacting customers who are solving some of the world's most complex challenges.

Oracle's cloud infrastructure business is experiencing significant growth, a testament to our strong legacy in helping organizations globally tackle their most intricate problems with unparalleled performance, reliability, and security.

As part of an outstanding team of researchers, you will contribute to advancing the state-of-the-art in critical areas, including:

• Generative AI Applications
• Agentic Platforms
• Reasoning and Planning
• Retrieval Augmented Generation
• Generative AI Evaluation
• Responsible AI
• Models’ Verticalization
• NL2Code, NL2SQL
• Multimodal GenAI
• Speech

This position is intended for students graduating with their Doctorate degree by December 2025, or those who have graduated within 12 months of the start date. Our program aims to enhance your learning, expand your network, and accelerate your impact within Oracle.

Your Role as a GenAI PhD Applied Scientist

As a GenAI PhD Applied Scientist in the Generative AI Service team, you will be instrumental in leading the development of distributed, scalable, high-performance AI model training and serving systems. Collaborating closely with fellow applied scientists and software engineers, you will deeply analyze model structures to optimize performance and scalability. This role involves building state-of-the-art systems with cutting-edge technologies in this rapidly evolving field, playing a key role in shaping the future of Generative AI at Oracle, particularly focusing on Large Language Models (LLMs) and Multi-modality Models. Your contributions will be crucial in delivering innovative Generative AI-powered services to large-scale enterprise customers.

Key Responsibilities

• Collaborate with product managers to translate business and product requirements into actionable AI projects.
• Partner with technical leaders to ensure successful and timely delivery and integration of AI models and services.
• Coordinate with global teams, driving projects from in-depth research to production-ready code.
• Develop new OCI services and features by leveraging recent advancements in generative AI, machine learning, and deep learning.
• Design and review the architecture for generative AI systems, covering data, model, training, and evaluation, adhering to best practices.
• Lead and mentor both junior and senior machine learning engineers.
• Develop production-grade code and champion best coding and engineering practices.
• Actively participate in project planning, review, and retrospective sessions.
• Identify and mitigate risks in project plans and execution, especially at the intersection of business and engineering.
• Work closely with cross-functional teams to integrate evaluation capabilities, identify new evaluation opportunities, and explore emerging technologies.

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, obtained by December 2025.
• Strong programming proficiency in Python and practical experience with deep learning frameworks like TensorFlow or PyTorch.
• Deep technical understanding of Machine Learning, Deep Learning architectures (e.g., Transformers), training methods, and optimizers.
• Practical experience with the latest LLM and generative AI technologies, including parameter-efficient fine-tuning, instruction fine-tuning, and advanced prompt engineering techniques (e.g., Tree-of-Thoughts).
• Hands-on experience with emerging LLM frameworks and plugins such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, and LLMOps (MLFlow), LMQL, Guidance.
• A background in Natural Language Processing and/or Computer Vision, Machine Learning, and Software Development, coupled with experience in research, development, collaboration, and innovation.
• Hands-on experience in one or more of the following: ASR, TTS, S2S translation, conversational AI, or related NLP topics.
• Proven analytical and problem-solving abilities in AI/ML or speech/language processing domains.
• Demonstrated experience in designing data collection/annotation solutions and systematic evaluation for developing and maintaining production systems.
• Commitment to staying current with academic advances and applying them to solve complex business problems and bring them into production.
• A strong publication record, including as a lead author or reviewer, in top-tier journals or conferences.
• Residency in the United States and/or attendance at a US university, with the ability to obtain US work authorization in 2025.

Preferred Qualifications

• Knowledge of LLMs and experience delivering Generative AI and Agent models.
• Familiarity and experience with the latest advancements in computer vision and multimodal modeling.
• Strong understanding of machine learning algorithms and architectures.
• Open-source contributions to the AI/ML community.
• Minimum 3.0 GPA.

Key skills/competency

• Generative AI
• Large Language Models (LLMs)
• Deep Learning
• Machine Learning Engineering
• Python Programming
• TensorFlow/PyTorch
• Distributed Systems
• Natural Language Processing (NLP)
• Prompt Engineering
• LLMOps (MLFlow)