About The Position
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.
Responsibilities
- Design data and feedback strategies
- Build preference/reward models
- Develop post training pipelines (e.g., SFT, DPO, RLHF/RLAIF) that deliver safe, high-quality, and cost-efficient enterprise AI experiences
- Partner closely with research engineers and product teams to ship aligned models to production
- Instrument rigorous evaluation
- Drive measurable customer and business impact
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
