Principal Applied Scientist (OCI/GenAI)

Oracle Corporation; United States; On-site; USD 150,000 - 190,000; Full time

Job summary

Oracle Corporation is seeking a Principal Applied Scientist for Generative AI Science to architect, build, and deploy cutting-edge AI models at scale for enterprise use. You will collaborate with software engineers, product managers, and cross-functional teams to deliver AI-powered services across OCI.

The role emphasizes leadership, mentoring junior scientists, and driving research and development in Generative AI, Data Analytics, and Agent technology.

Qualifications

• PhD with 2+ years in CS focusing on LLM/Analytics or related fields.
• Strong publication record in AI/LLM/Analytics venues.
• Extensive experience in NLP, LLM, VLM, Retrieval, Enrichment and Analytics.

Responsibilities

• Research and Development on Generative AI and Data Analytics, focusing on LLM and Agents.
• Design, develop, and deploy state-of-the-art LLM models and AI Agents at enterprise scale.

Skills

LLM

NLP

Analytics

Leadership

Research

Education

PhD (Computer Science)

Job description

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. The Oracle Cloud Infrastructure (OCI) Generative AI science team is responsible for growing OCI’s Generative AI, Agent and Analytics services. Our goal is to build foundational technologies and enable customers to apply AI to solve their business problems with Oracle’s assistance and expertise in Generative AI, Database and Analytics. In this role, you will have an opportunity to work with teams of applied scientists and engineers to deliver high quality Generative AI models, Data Agent, Analytics solutions and services that delight our customers with the confidence that their data is safe and protected.

Career Level - IC4

We are seeking an exceptional applied scientist to work on innovative Generative AI & Data Analytics modeling research and development efforts. As a Principal Applied Scientist in Generative AI Science team, you will be architecting, building and deploying cutting-edge, high-quality AI models and solutions at scale. You will work with a team of world-class scientists in exploring new frontiers of Generative AI and collaborate with cross-functional teams including software engineers and product managers to deploy these globally for real-world enterprise use-cases at the largest scale. You will play a key role in shaping the future of Generative AI & Data Analytics at Oracle and across the industry. Your contributions will be pivotal in delivering our new Generative AI-powered services for large-scale enterprise customers.

Internal Responsibilities

Responsibilities:

• Research and Development: Conduct in-depth research on Generative AI and Data Analytics, with a focus on Large Language Models (architecture, models, representation, evaluation, optimizations, planning, among others), and other emerging approaches.
• AI Data and Agent Development: Design, develop, and train state-of-the-art LLM models and Agents that meet the highest quality standards.
• Team Leadership: technical leadership and mentor junior scientists.
• Collaboration: Work closely with cross-functional teams to integrate Generative AI capabilities into various applications and products.
• Innovation: Identify new opportunities for Generative AI and Data Analytics and explore emerging technologies for Unstructured and Structured Data.
• Stay Updated: Maintain a deep understanding of industry trends and advancements in this space.

Qualifications and Experience:

• PhD, and 2+ years relevant experience in Computer Science (focused on LLM, Agent, Analytics) or related fields;
• Strong publication record, including as a lead author, in top-tier journals or AI/LLM/Analytics conferences.
• Extensive experience in NLP, LLM, VLM, Retrieval, Enrichment and Analytics.
• Proven track record of leading research and development projects.
• Strong understanding of AI/ML algorithms and architectures.
• Excellent problem-solving and analytical skills.
• Strong leadership and communication abilities

External Responsibilities

Responsibilities:

• Research and Development: Conduct in-depth research on Generative AI and Data Analytics, with a focus on Large Language Models (architecture, models, representation, evaluation, optimizations, planning, among others), and other emerging approaches.
• AI Data and Agent Development: Design, develop, and train state-of-the-art LLM models and Agents that meet the highest quality standards.
• Team Leadership: technical leadership and mentor junior scientists.
• Collaboration: Work closely with cross-functional teams to integrate Generative AI capabilities into various applications and products.
• Innovation: Identify new opportunities for Generative AI and Data Analytics and explore emerging technologies for Unstructured and Structured Data.
• Stay Updated: Maintain a deep understanding of industry trends and advancements in this space.

Qualifications and Experience:

• PhD, and 2+ years relevant experience in Computer Science (focused on LLM, Agent, Analytics) or related fields;
• Strong publication record, including as a lead author, in top-tier journals or AI/LLM/Analytics conferences.
• Extensive experience in NLP, LLM, VLM, Retrieval, Enrichment and Analytics.
• Proven track record of leading research and development projects.
• Strong understanding of AI/ML algorithms and architectures.
• Excellent problem-solving and analytical skills.
• Strong leadership and communication abilities