Oracle is looking to invent, implement, and deploy state-of-the-art machine learning algorithms and systems, build AI Agents on top of LLMs, and develop new intelligence around core products and services to tackle today's challenges using tomorrow's technology.
Requirements
- Build AI Agents on top of the latest reasoning LLMs (both frontier and open source) and analyze agent trajectories.
- Build cloud services that work out of the box for enterprises, e.g. decision support, anomaly detection, forecasting and recommendations), natural language processing (NLP), Natural Language Understanding (NLU),Time Series etc.
- Design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.
- Identify data science use cases and design scalable solutions that can be built as a feature of the product/service.
- Contributes to writing production model code.
- Work with Software Engineering teams to deploy them in production.
- Design and implement algorithms, train models, and deploy both to production to validate premises and achieve goals.
Responsibilities
- Invent, implement and deploy state-of-the-art machine learning and/or specific domain industry algorithms and systems.
- Build AI Agents on top of the latest reasoning LLMs (both frontier and open source) and analyze agent trajectories.
- Build prototypes and explore conceptually new solutions.
- Applies data science capabilities and research findings to create and implement solutions to scale.
- Responsible for developing new intelligence around core products and services through applied research on behalf of our customers.
- Develops models, prototypes, and experiments that pave the way for innovative products and services.
- Build cloud services that work out of the box for enterprises, e.g. decision support, anomaly detection, forecasting and recommendations), natural language processing (NLP), Natural Language Understanding (NLU),Time Series etc.
Other
- Work collaboratively with science, engineering, and product teams to identify customer needs in order to create and implement solutions, promote innovation and drive model implementations.
- Conversant on ethical problems in consideration of sciences.
- Stay up- to date with research and trends regarding latest algorithms in ML or other industry/domain space.
- May perform other duties as assigned.
- Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.
