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Senior Applied Scientist - Agentic AI at Oracle Risk Management Services
, , United States -
Full Time

Start Date

Immediate

Expiry Date

22 Mar, 26

Salary

0.0

Posted On

22 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Learning From Human Feedback, User Preference Modeling, In-Context Learning, Post Training, Large Language Models, Data Strategies, Feedback Strategies, Preference Models, Reward Models, Post Training Pipelines, Safe AI, High-Quality AI, Cost-Efficient AI, Machine Learning, Generative AI, Optimization

Industry

IT Services and IT Consulting

Description
At Oracle Analytics, we are building the next generation of enterprise AI products to enable intelligent data analysis at scale. Leveraging our foundational strengths in data management and enterprise software applications, we are advancing our platforms and applications by deeply embedding cutting-edge agentic AI, generative AI, and innovations in machine learning and optimization.We are seeking a Senior Applied Scientist to perform innovation in learning from human feedback (LFHF) and user preference modeling, with a strong focus on in-context learning and post training for large language models. You will design data and feedback strategies, build preference/reward models, and develop post training pipelines (e.g., SFT, DPO, RLHF/RLAIF) that deliver safe, high-quality, and cost-efficient enterprise AI experiences. You will partner closely with research engineers and product teams to ship aligned models to production, instrument rigorous evaluation, and drive measurable customer and business impact.

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Responsibilities
The Senior Applied Scientist will innovate in learning from human feedback and user preference modeling, focusing on in-context learning and post training for large language models. They will design data and feedback strategies, build preference/reward models, and develop post training pipelines to enhance enterprise AI experiences.