As a Chief Applied Scientist, you will play a key role in shaping the future of AI at Oracle, with an emphasis on Large Language Models (LLMs) and Generative AI. Your contributions will be pivotal in delivering our new Generative AI-powered solutions for Sales, Finance, Retail, healthcare, and enterprise customers. You will partner with our product, engineering, data science, research, and field teams to help customers be successful using our products and influence our roadmap. A successful candidate will bring a passion for innovative products, tight-knit collaboration skills and the ability to work closely with both external customers and internal teams, as well as hands-on experience as a data scientist applying AI to solve business problems. 

Responsibilities

• Design, Advise, Architect, Develop, implement, and optimize machine learning models, with focus on large language models and generative AI technologies, including training/fine-tuning and computation optimizations.
• Collaborate with software engineers to deploy LLMs and other Generative AI models into production environments.
• 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 multinational teams to drive projects from research POC to production.
• Develop new enterprise services and features leveraging recent advances in generative AI, machine learning and deep learning.
• Design and review the architecture of AI solutions, including data, model, training, and evaluation, employing best practices.
• Lead and mentor both junior and senior 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, engineering, and data science.

Qualifications and Experience

• Demonstrated experience in designing, architecting, and implementing scalable AI models for production.
• Deep technical understanding of Machine Learning and 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, Vector Stores and Retrievers, LLM Cache, LLMOps (MLFlow, 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.
• Experienced leading senior scientists and early-career scientists.

Preferred Qualifications

• Familiarity and experience with the latest advancements in computer vision and multimodal modeling is a plus.

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 chip into Oracle's Generative AI strategy. At Oracle, we value diversity and encourage continuous learning for career growth. Come join our team to make a meaningful difference!

Required Skills

AI (Artificial Intelligence) Data ScienceML (Machine Learning) NLP (Natural Language Processing)

Career Level - IC5